Big Data

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<b>THIS PAGE IS NO LONGER BEING UPDATED. FOR ALL WIKIBON BIG DATA RESEARCH CONTENT VISIT [http://premium.wikibon.com/big-data/ PREMIUM.WIKIBON.COM/BIG-DATA].</b>
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<h3>Big Data Research and Analysis from The Wikibon Project</h3>
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<br><b>Big Data Research and Analysis from Wikibon</b>
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The best of Wikibon's Big Data research and analysis. Follow Wikibon Big Data Analyst Jeff Kelly on [https://twitter.com/jeffreyfkelly Twitter] and [http://www.linkedin.com/in/jeffreyfkelly/ LinkedIn].
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<br>Follow Wikibon Big Data Analyst Jeff Kelly on [https://twitter.com/jeffreyfkelly Twitter] and [http://www.linkedin.com/in/jeffreyfkelly/ LinkedIn].
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===Featured Research: Big Data===
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[[Image:BDforecast2012.png|left|thumb|100px]]<b>[[Big Data Vendor Revenue and Market Forecast 2012-2017]]</b>
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''UPDATED 2012 REVENUE AND 5 YEAR FORECAST''
 
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The Big Data market is on the verge of a rapid growth spurt that will see it near the $50 billion mark worldwide within the next five years. The analysis in this in-depth research report highlights Wikibon’s five-year forecast for the Big Data market as a whole as well as vendor revenue estimates. It includes full analysis of the leading market growth catalysts and advice for enterprise CIOs and business leaders looking to capitalize on Big Data and business analytics.
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<b>[[Hadoop-NoSQL Software and Services Market Forecast, 2013-2017]]</b>
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<br>The market for Hadoop/NoSQL software and services topped $1 billion in 2013 as measured by vendor revenue. Over the next five years, Wikibon forecasts this market to grow to nearly $3.3 billion, a compound annual growth rate (CAGR) of 45%. Demand for new approaches for processing, storing, analyzing and delivering value from Big Data is the main catalyst driving the Hadoop/NoSQL software and services market.
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[[Image:Hadoop-NoSQL_MarketForecast_2012-2017.png|left|thumb|100px|]]<b>[[Hadoop-NoSQL Software and Services Market Forecast 2012-2017]]</b>
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<b>[http://wikibon.org/wiki/v/Wikibon_Big_Data_Analytics_Survey,_2014 Wikibon Big Data Analytics Survey, 2014-2015]</b>
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<br>Judging by media reports, Big Data analytics is as easy as collecting some data, deploying an application or two and waiting for the “game-changing” insights to start rolling in. The reality is Big Data analytics is hard. With this as backdrop, Wikibon set out to understand the state of Big Data analytics adoption in the enterprise and to identify the top barriers and challenges to success.
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The market for Hadoop/NoSQL software and services topped $540 million in 2012 as measured by vendor revenue. Over the next five years, Wikibon forecasts this market to grow to nearly $3.5 billion, a compound annual growth rate (CAGR) of 45%. Demand for new approaches for processing, storing, analyzing and delivering value from Big Data is the main catalyst driving the Hadoop/NoSQL software and services market.
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<b>[http://wikibon.org/wiki/v/Big_Data_Vendor_Revenue_and_Market_Forecast_2013-2017 Big Data Vendor Revenue and Market Forecast, 2013-2017]</b>
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<br>The Big Data market is on the verge of a rapid growth spurt that will see it over the $50 billion mark worldwide within the next five years. The analysis in this in-depth research report highlights Wikibon’s five-year forecast for the Big Data market as a whole as well as vendor revenue estimates. It includes full analysis of the leading market growth catalysts and advice for enterprise CIOs and business leaders looking to capitalize on Big Data and business analytics.
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[[Image:Forecast-BigDataComponentProjectionDatabaseDetail.png|left|thumb|100px|]]<b>[[Big Data Database Revenue and Market Forecast 2012-2017]]</b>
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<b>[http://wikibon.org/wiki/v/Big_Data:_Hadoop,_Business_Analytics_and_Beyond The Wikibon Big Data Manifesto]</b>
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<br>Big Data is the new definitive source of competitive advantage across all industries. Enterprises and technology vendors that dismiss Big Data as a passing fad do so at their peril and, in our opinion, will soon find themselves struggling to keep up with more foreword-thinking rivals. For those organizations that understand and embrace the new reality of Big Data, the possibilities for new innovation, improved agility, and increased profitability are nearly endless.
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The research behind this article drills down into the database components, Big Data SQL database revenue, and Big Data NoSQL database revenue, highlighted in Figure 1. The total represents 10.4% of total Big Data in 2012, and remains at about 10% of total through 2017. Both SQL and NoSQL databases have strong roles to play in Big Data solutions.
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[[Image:bigdatachrac.png|left|thumb|100px|]]<b>[http://wikibon.org/wiki/v/Big_Data:_Hadoop,_Business_Analytics_and_Beyond A Big Data Manifesto from the Wikibon Community]</b>
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<b>[[The Industrial Internet and Big Data Analytics: Opportunities and Challenges]]</b>
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<br>While Wikibon believes that Big Data is the new definitive source of competitive advantage across all vertical markets, the stakes are highest – financial and societal -- in those industry sectors that make up the Industrial Internet. The high value and consequences of harnessing this data, therefore, demand the development of specialized platforms, data models, and analytic capabilities to meet these unique, stringent, and critical requirements.
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Big Data is the new definitive source of competitive advantage across all industries. Enterprises and technology vendors that dismiss Big Data as a passing fad do so at their peril and, in our opinion, will soon find themselves struggling to keep up with more foreword-thinking rivals. For those organizations that understand and embrace the new reality of Big Data, the possibilities for new innovation, improved agility, and increased profitability are nearly endless.
 
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[[Image:BigDataComponents.JPG|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Enterprise_Big-data The Definition of Enterprise Big Data]</b>
 
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Big Data is emerging from the realms of data science projects to help companies better understand the masses of data being created both inside and outside the enterprise, make better decisions that result in real business value, and act in real-time to better serve customers and target markets. The IT techniques and tools to execute big data processing are new, very important and exciting. In this report, Wikibon provides its definition of enterprise Big Data and what it means for practitioners.
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===Most Recent Research: Big Data===
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*[[Follow the Money: Big Data ROI and Inline Analytics]] (December 24, 2014)
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[[Image:hadoopelephant1.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Hadoop%3A_From_Innovative_Up-Start_to_Enterprise-Grade_Big_Data_Platform Hadoop: From Innovative Up-Start to Enterprise-Grade Big Data Platform]</b>
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*[[In-Memory Databases Put the Action in Actionable Insights]] (December 23, 2014)
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*[[Hadoop-NoSQL Software and Services Market Forecast, 2013-2017]] (December 18, 2014)
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*[[Data Service Providers Find a Home in AWS]] (November 18, 2014)
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*[http://wikibon.org/blog/breaking-down-the-hortonworks-s-1/ Breaking Down the Hortonworks S-1] November 11, 2014)
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*[[Evaluating Hadoop Vendor Partnership Strategies]] (November 6, 2014)
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*[http://wikibon.org/wiki/v/Wikibon_Big_Data_Analytics_Survey,_2014 Wikibon Big Data Analytics Survey, 2014-2015] (October 15, 2014)
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*[[Tableau Software Commits to Massive Research and Development Investment]] (September 17, 2014)
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*[[Teradata Turns to Acquisitions, Partnerships to Adapt to Big Data Realities]] (5 September 2014)
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*[[Big Data Success Requires A Storyteller's Touch]] (25 August 2014)
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*[[The Value of Oracle Database Appliance (ODA) for ISVs]] (21 August 2014)
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*[[Wikibon Big Data Analytics Survey, 2014]] (18 August 2014)
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*[[SAS Makes Analytics Available on AWS RedShift, Elastic MapReduce]] (14 August 2014)
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*[http://wikibon.org/blog/hp-invests-in-hortonworks-to-jumpstart-its-transformation/ HP Invests in Hortonworks to Jumpstart its Transformation] (28 July 2014)
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*[http://wikibon.org/blog/people-relationships-just-as-important-as-data-for-new-cdos/ People, Relationships Just as Important as Data, Technology for new CDOs] (18 July 2014)
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*[[Professional Services Play An Integral Role in Big Data Engagements]] (9 July 2014)
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*[http://wikibon.org/blog/hadoop-at-once-disrupts-and-compliments-traditional-approaches/ Hadoop at Once Disrupts and Compliments Traditional Approaches] (30 June 2014)
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*[[MongoDB Sharpens its Focus on the Enterprise]] (29 June 2014)
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*[[Primer on the EMC Federation]] (14 June 2014)
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*[[Data Warehouse Vendors Moving to Contain the Hadoop Threat]] (11 June 2014)
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*[[The Emergence of a New Architecture for Long-term Data Retention]] (27 May 2014)
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*[http://siliconangle.com/blog/2014/04/29/the-data-economy-big-data-vendor-alliances-solidifying-with-cloudera-mongodb-partnership/ Big Data Vendor Alliances Solidifying with Cloudera-MongoDB Partnership] (29 April 2014)
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*[http://siliconangle.com/blog/2014/04/25/the-data-economy-meet-the-hybrid-data-scientist-application-developer/ Meet the Hybrid Data Scientist-Application Developer] (25 April 2014)
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*[http://servicesangle.com/blog/2014/04/24/the-data-economy-data-standards-needed-to-enable-industrial-internet/ Data Standards Needed to Enable Industrial Internet] (24 April 2014)
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*[[The Growth and Management of Unstructured Data]] (21 April 2014)
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*[http://servicesangle.com/blog/2014/04/15/the-data-economy-microsofts-cautious-big-data-vision/ Microsoft's Cautious Big Data Vision] (15 April 2014)
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*[http://siliconangle.com/blog/2014/04/10/the-data-economy-understanding-the-hadoop-data-warehouse-balance-of-power/ Understanding the Hadoop-Data Warehouse Balance of Power] (10 April 2014)
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*[http://siliconangle.com/blog/2014/04/05/the-data-economy-pivotal-hortonworks-milestones-demonstrate-new-hadoop-realities/ Pivotal, Hortonworks Milestones Demonstrate New Hadoop Realities] (5 April 2014)
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*[http://wikibon.org/wiki/v/The_Sterile_noSQL_vs._SQL_Debate The Sterile NoSQL vs. SQL Debate] (2 April 2014)
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*[http://wikibon.org/blog/technical-partnerships-pave-the-way-for-production-hadoop/ Technical Partnerships Pave the Way for Production Hadoop] (26 February 2014)
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*[http://siliconangle.com/blog/2014/03/31/the-data-economy-intel-bets-big-really-big-on-big-data/ Intel Bets Big on Cloudera] (31 March 2014)
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*[[For Big Data to Thrive in the Cloud, More Managed Services Required]] (27 March 2014)
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*[http://www.dzihni.com/harga-produk-microsoft-windows-asli-di-indonesia Harga Windows Asli] (25 March 2014)
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*[http://siliconangle.com/blog/2014/03/17/with-gemfire-xd-pivotal-closes-the-big-data-analytics-loop/ With GemFire XD, Pivotal Closes the Big Data Analytics Loop] (17 March 2014)
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*[http://siliconangle.com/blog/2014/03/13/does-the-growing-influence-of-cmos-portend-a-wave-of-big-data-apps/ Does the Growing Influence of CMOs Portend a Wave of Big Data Apps?] (13 March 2014)
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*[[Big Data Database Revenue and Market Forecast 2012-2017 ]] (22 February 2014)
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*[[Big Data Vendor Revenue and Market Forecast 2013-2017]] (10 February 2014)
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*[http://wikibon.org/blog/cloud-and-big-data-upending-it-stalwarts/ Cloud and Big Data Upending IT Stalwarts] (23 January 2014)
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*[[Qubole Tries to Up-level the Hadoop Conversation with Managed Cloud Service]] (16 January 2014)
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*[[IBM Aims to Bring Watson to the Enterprise]] (9 January 2014)
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*[[Attunity Adapts Change Data Capture for Big Data Analytics]] (8 January 2014)
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*[[Hadoop Pure-Play Business Models Explained]] (12 December 2013)
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*[[Treasure Data Looks to the Cloud to Unlock Big Data Value]] (20 November 2013)
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*[http://wikibon.org/wiki/v/Can_EMC_Pivotal_Compete_with_AWS%3F Can Pivotal Compete with AWS?] (6 November 2013)
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*[[High Performance Computing Meets Big Data]] (25 October 2013)
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*[[The Data Economy Manifesto]] (24 October 2013)
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*[[Real-time Big Data: eXelate Case Study]] (17 October 2013)
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*[[Syncsort Sorting out Big Data]] (30 September 2013)
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*[[21 NoSQL Innovators to Look for in 2020]] (29 September 2013)
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*[[Enterprises Struggling to Derive Maximum Value from Big Data]] (18 September 2013)
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*[[Tableau Software Strong Out of the Gate In First Quarterly Earnings Report]] (13 September 2013)
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*[[Splunk Continues Platform-and-Application Strategy, Grows Revenue in Q2]] (30 August 2013)
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*[[Hadoop-NoSQL Software and Services Market Forecast 2012-2017]] (27 August 2013)
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*[[Big Data Analytics One of Few Bright Spots for HP Q3 Earnings]] 22 August 2013)
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*[[Hortonworks Data Platform 1.3 Brings Hadoop to Windows]] (16 August 2013)
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*[http://wikibon.org/blog/big-data-adds-complexity-nuance-to-the-data-quality-equation/ Big Data Adds Complexity, Nuance to the Data Quality Equation] (16 July 2013)
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*[[GE Unveils Industrial-Grade Big Data Platform and Analytics Applications]] (18 June 2013)
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*[[The Industrial Internet and Big Data Analytics: Opportunities and Challenges]] (17 June 2013)
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*[[Defining and Sizing the Industrial Internet]] (17 June 2013)
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*[[HP Unifies Big Data Assets in HAVEn Platform]] (11 June 2013)
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*[[IBM Taps 10gen to Extend Mobile Application Support]] (10 June 2013)
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*[[Big Data in the Aviation Industry]] (30 May 2013)
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*[[EBay Leveraging Cassandra to Support Growing Multistructured Data Volumes]] (8 May 2013)
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*[http://wikibon.org/wiki/v/Big_Data_in_the_Retail_Industry Big Data in the Retail Industry] (29 April 2013)
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*[[Weighing the Costs and Benefits of Big Data in the Cloud]] (24 April 2013)
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*[[Flash and Hyperscale Changing Database and System Design Forever]] (5 April 2013)
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*[[IBM Accelerates Its Big Data Portfolio]] (3 April 2013)
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*[http://wikibon.org/wiki/v/Big_Data_in_the_Pharmaceuticals_Industry Big Data in the Pharmaceuticals Industry] (25 March 2013)
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*[[Intel Validates Hadoop Market]] (7 March 2013)
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*[http://wikibon.org/wiki/v/Big_Data_in_Media Big Data in the Media Industry] (26 February 2013)
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*[[EMC Integrates Greenplum DB and Hadoop with Pivotal HD]] (25 February 2013)
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*[http://wikibon.org/wiki/v/Big_Data_in_the_Utilities_Industry Big Data in the Utilities Industry] (30 January 2013)
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The Hadoop distribution race is important because no technology can achieve mass adoption in the enterprise unless risk-averse IT departments believe it will stand-up under pressure, and Hadoop is no exception. Consider the apocryphal saying, “Nobody ever got fired for buying IBM,” but replace IBM with Hadoop. Sounds almost fanciful, no? But making that statement a truism is now the mission of every Hadoop distribution vendor.
 
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[[Image:flash-hyperscale.png|left|thumb|100px]]<b>[[Flash and Hyperscale Changing Database and System Design Forever]]</b>
 
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Low-latency and hyperscale computing are and will continue to radically change the fundamental design of databases and systems. The shape of the IT industry is being radically altered by the use of Big Data and related technologies, including flash storage. CIOs must prepare themselves for this new paradigm, which gives IT shops a golden opportunity to add significant value to the enterprise.
 
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===theCUBE: Big Data===
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[[Image:IndustrialInternetFigure2.png|left|thumb|100px]]<b>[[Defining and Sizing the Industrial Internet]]</b>
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The main difference between the consumer/social Internets and the Industrial Internet is in how and how much value is created. For consumer/social Internets, the majority of value is created from advertisements. The value created from the Industrial Internet is much greater from the same amount of data, and has three components.
 
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[[Image:IndustrialInternetWordle.png|left|thumb|100px]]<b>[[The Industrial Internet and Big Data Analytics: Opportunities and Challenges]]</b>
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[[Image: AWSREINVENT2014LOGO.jpg|thumb|left|100px]]<b>[[AWS re:Invent 2014]]</b>
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SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at AWS re:Invent 2014, November 12-13, 2014 in Las Vegas. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcaj3hDASHmcUyrqvJP_ORKp SiliconANGLE's AWS re:Invent 2014 YouTube Playlist].[http://www.siliconangle.tv/aws-reinvent-november-11-14-2014-las-vegas-nv/ Please visit theCUBE Event Page for guest information and Chapter'd interviews].
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While Wikibon believes that Big Data is the new definitive source of competitive advantage across all vertical markets, the stakes are highest – financial and societal -- in those industry sectors that make up the Industrial Internet. The high value and consequences of harnessing this data, therefore, demand the development of specialized platforms, data models, and analytic capabilities to meet these unique, stringent, and critical requirements.
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[[Image: IBMINSIGHT14LOGO.jpg|thumb|left|100px]]<b>[[IBM Insight 2014]]</b>
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SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at IBM Insight 2014, October 27-28, 2014 in Las Vegas. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcZLk5wx5asQy6odeU05QD-W SiliconANGLE's IBM Insight 2014 YouTube Playlist]. [http://siliconangle.tv/ibm-insight-2014/ Please visit theCUBE Event Page for guest information and Chapter'd interviews].
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[[Image:cioinflexionpoint.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Big_Data:_CIOs_Face_an_Inflexion_Point Big Data: CIOs Face an Inflection Point]</b>
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[[Image: HADOOPHUDSON14LOGO2.jpg|thumb|left|100px]]<b>[[Hadoop on the Hudson 2014]]</b>
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SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at Hadoop on the Hudson, October 16, 2014 in Manhattan. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcZ0Ow76LdR55iDjxroMTGMS SiliconANGLE's Hadoop on the Hudson 2014 YouTube Playlist].[http://siliconangle.tv/hadoop-on-the-hudson-new-york-ny/ Please visit theCUBE Event Page for guest information and Chapter'd interviews].
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CIOs that believe they can survive and thrive in the Era of Big Data by making marginal improvements to existing data management technologies and infrastructures are mistaken. Rather, the enterprises that come to dominate the 21st century will be those that invest in new technologies and processes that allow them to ingest, analyze, and act on streaming data from all manner of sources in real-time and develop closed-loop feedback systems to continually optimize business processes.
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[[Image: BIGDATANY14LOGO.jpg|thumb|left|100px]]<b>[[BigDataNYC 2014]]</b>
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SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at #BigDataNYC 2014, October 16 – 17, 2014 in New York City. Interview archives available on [https://www.youtube.com/playlist?list=PLenh213llmcZ3sehrSYyHuliWrfJzW1Oh SiliconANGLE's #BigDataNYC 2014 YouTube Playlist].
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[[Image:MPPvsDW Figure1.JPG|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Financial_Comparison_of_Big_Data_MPP_Solution_and_Data_Warehouse_Appliance Comparison of Big Data MPP Solution & Data Warehouse Appliance]</b>
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[[Image: oow11.png|thumb|left|100px]]<b>[[Oracle OpenWorld 2014]]</b>
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SiliconANGLE and Wikibon are bringing theCUBE for three days of live coverage and interviews in 2 booths (Cisco/blue and QLogic/white) at Oracle OpenWorld 2014, September 29 –October 1, 2014 in San Francisco, CA. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcbWJGHsqTXEidwTn6YFaiHf SiliconANGLE's Oracle OpenWorld 2014 White YouTube Playlist].[http://www.youtube.com/playlist?list=PLenh213llmcbWJGHsqTXEidwTn6YFaiHf SiliconANGLE's Oracle OpenWorld 2014 Blue YouTube Playlist].
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Big data is a topic of significant interest to users and vendors at the moment. Wikibon has completed significant research in this area to define big data, to differentiate big data projects from traditional data warehousing projects and to look at the technical requirements. In this paper Wikibon looks at the business case for big data projects and compares them with traditional data warehouse approaches.
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[[Image: SplunkLogo-small.png|thumb|left|100px]]<b>[[Splunk .conf 2014]]</b>
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SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at Splunk .conf2014, October 7 – 8, 2014 in Las Vegas. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcaDYsM9FBK6oLGvGG-jIaRs SiliconANGLE's Splunk .conf2014 YouTube Playlist].
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[[Image:TABLEAU14LOGO.jpg|thumb|left|100px]]<b>[[Tableau Conference 2014]]</b>
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SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at Tableau Conference 2014, September 8 – 12, 2014 in Seattle, WA. [http://siliconangle.tv/tableau-customer-conference-september-8-12-2014-seattle-wa/ Please visit theCUBE Event Page for guest information and Chapter'd interviews]. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcYWdCf178poiwl_m9xiPnHq SiliconANGLE's Tableau Conference 2014 YouTube Playlist].
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<br><b>Big Data in Vertical Markets</b>
 
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[[Image:retail-image1.jpg|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Big_Data_in_the_Retail_Industry Big Data in the Retail Industry]</b>
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[[Image:HPVERTICA14LOGO.jpg|thumb|left|100px]]<b>[[HP Vertica Big Data Conference 2014]]</b>
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Early adopters of Big Data technologies and methodologies in the pharmaceutical industry are mining vast troves of clinical, market, and legal data to identify which drugs under consideration for development have the best chance of navigating the grueling path from discovery to pharmacy shelves.
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SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at the HP Vertica Big Data Conference 2014, August 12-13, 2014. [http://siliconangle.tv/hp-discover-las-vegas-2014/ Please visit theCUBE Event Page for guest information and Chapter'd interviews]. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcatpHn-el6sNrd4TvkAZk3F SiliconANGLE's HP Vertica Big Data Conference 2014 YouTube Playlist].
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[http://wikibon.org/wiki/v/HP_Vertica_Big_Data_Conference_2014 Full list of videos and articles from the event here.]
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[[Image:bigdatapharma.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Big_Data_in_the_Pharmaceuticals_Industry Big Data in the Pharmaceuticals Industry]</b>
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[[Image:MITCHIEFDATASYMPOSIUM14LOGO.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/MIT_Chief_Data_Officer_and_Information_Quality_Symposium MIT CDOIQ Symposium 2014]</b>
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Retailers such as Walmart and Amazon are among the innovative Big Data early adopters, using data to provide value-add services that both benefit customers and improve the bottom-line. Today, retailers continue to blaze an innovative path in Big Data.
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SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at the MIT Chief Data Officer and Information Quality Symposium in Cambridge, July 23rd - 24th, 2014. [http://siliconangle.tv/mit-cdoiq-july-23-24-2014-cambridge-ma/ Please visit theCUBE Event Page for guest information and Chapter'd interviews]. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcYycv6movDzYSW9EMu7Ff3S SiliconANGLE's MIT Chief Data Officer and Information Quality Symposium YouTube Playlist].
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[http://wikibon.org/wiki/v/MIT_Chief_Data_Officer_and_Information_Quality_Symposium Full list of videos and articles from the event here.]
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[[Image:BigDataAviation.jpg|left|thumb|100px]]<b>[[Big Data in the Aviation Industry]]</b>
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[[Image: HPDISCOVER14LASVEGASLOGO.jpg |thumb|left|100px]]<b>[http://wikibon.org/wiki/v/HP_Discover_2014_Las_Vegas HP Discover 2014]</b>
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The commercial aviation industry is ripe for innovation in the form of Big Data analytics. Jet engines create significant data exhaust during the course of operations, data that can and should be analyzed to increase operational efficiencies and to facilitate preventive maintenance of faulty and soon-to-fail parts.
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SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the HP Discover 2014 Las Vegas, June 9th - 12th, 2014. [http://siliconangle.tv/hp-discover-las-vegas-2014/ Please visit theCUBE Event Page for guest information and Chapter'd interviews]. Interview archives available on [http://www.youtube.com/playlist?list=PLenh213llmcZRveNEq05C65yHvD8CaEaP SiliconANGLE's HP Discover 2014 Las Vegas YouTube Playlist].
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[http://wikibon.org/wiki/v/Hadoop_Summit_2014 Full list of videos and articles from the event here.]
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[[Image:bigdatautilities.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Big_Data_in_the_Utilities_Industry Big Data in the Utilities Industry]</b>
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[[Image:HADOOPSUMMITLOGO.jpg|thumb|left|100px]]<b>[[Hadoop Summit 2014]]</b>
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Advanced metering infrastructure (AMI), commonly known as smart meters, that “phone home” energy usage data every 15 minutes are increasingly replacing aging, traditional meters that require manual readings. The result is a deluge of machine-generated data that offers both opportunities and challenges for utilities companies.
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SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the Hadoop Summit 2014 in Las Vegas, May 19th – 20th, 2014.
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Also see all videos from this show on [https://www.youtube.com/playlist?list=PLenh213llmcaIG_3TR7Ql89F9i9-P8Qna SiliconANGLE's YouTube playlist].
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[http://wikibon.org/wiki/v/HP_Discover_2014_Las_Vegas Full list of videos and articles from the event here.]
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[[Image:bigdatamedia.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Big_Data_in_Media Big Data in the Media Industry]</b>
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[[Image:emcworldlogo1.png|thumb|left|100px]]<b>[[EMC World 2014]]</b>
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A handful of innovative media companies – both “old school” news operations such as the Associated Press & the New York Times and new media companies including Prismatic and Zite – are leveraging Big Data to deliver timely, relevant content to users and derive new lines of revenue.
+
SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the EMC World 2014 News in Las Vegas, May 5th - 8th, 2014. Also see all videos from this show on SiliconANGLE's [http://www.youtube.com/playlist?list=PLenh213llmcZKQxr87zhJOq2QRyzDSXxE EMC World 2014 YouTube Playlist] and the CrowdChat and enhanced media player on [http://siliconangle.tv/emcworld-lasvegas-2014/ SiliconANGLE.tv for EMC World 2014]. [http://wikibon.org/wiki/v/EMC_World_2014 Full list of videos and articles from the event here.]
<br>
<br>
-
[[Image:bigdatabanking.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Banking_on_Big_Data_to_Spur_Lending Big Data in the Financial Services Industry]</b>
+
[[Image:ibmimpactlogo1.png|thumb|left|100px]]<b>[[IBM Impact 2014]]</b>
-
Big Data would for the first time provide an efficient and practical way for banks to make loan decisions based on highly personalized analytics at scale. The result would be a more accurate view of an applicant’s true credit risk and a resulting increase in loan activity, particularly to those applicants whose credit scores alone don’t tell the whole story.
+
SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the IBM Impact 2014 News in Las Vegas, April 28th - 29th, 2014. Also see all videos from this show on SiliconANGLE's [https://www.youtube.com/playlist?list=PLenh213llmcafN2aLgAVfMDdiNdCRlC77 IBM Impact 2014 YouTube Playlist]. [http://wikibon.org/wiki/v/IBM_Impact_2014 Full list of videos and articles from the event here.]
-
<br><b>Additional Wikibon Big Data Research and Analysis</b>
+
<br>
-
*[[GE Unveils Industrial-Grade Big Data Platform and Analytics Applications]]
+
[[Image:REDHATSUMMITLOGO.jpg|thumb|left|100px]]<b>[[Red Hat Summit 2014]]</b>
-
*[[HP Unifies Big Data Assets in HAVEn Platform]]
+
SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the Red Hat Summit 2014 News in San Francisco, April 15th - 16th, 2014. Also see all videos from this show on SiliconANGLE's [https://www.youtube.com/playlist?list=PLenh213llmcYnJJfdszWVuJRbHXa8WNXl Red Hat Summit 2014 YouTube Playlist]. [http://wikibon.org/wiki/v/Red_Hat_Summit_2014 Full list of videos and articles from the event here.]
-
*[[IBM Accelerates Its Big Data Portfolio]]
+
-
*[[Intel Validates Hadoop Market]]
+
-
*[[EMC Integrates Greenplum DB and Hadoop with Pivotal HD]]
+
-
*[[Data in DRAM is a Flash in the Pan]]
+
-
*[http://wikibon.org/blog/dont-let-misconceptions-limit-your-hadoop-options/ Don’t Let Misconceptions Limit Your Hadoop Options]
+
-
*[http://wikibon.org/wiki/v/Improving_Hardware_Efficiency_Important_to_Overall_Hadoop_ROI Hardware Efficiency Important to Overall Hadoop ROI]
+
-
*[http://wikibon.org/blog/breaking-analysis-accumulo-why-the-world-needs-another-nosql-database/ Accumulo: Why the World Needs Another NoSQL Database]
+
-
*[http://wikibon.org/wiki/v/Google_and_VMware_Provide_Virtualization_of_Hadoop_and_Big_Data Google and VMware Provide Virtualization of Hadoop and Big Data]
+
-
*[http://wikibon.org/blog/clearing-up-some-confusion-on-the-hadoop-wars/ Clearing Up Some Confusion on the Hadoop Wars]
+
-
*[http://wikibon.org/blog/google-playing-the-big-data-long-game/ Google Playing the Big Data Long Game]
+
-
*[http://wikibon.org/wiki/v/The_Emerging_Big_Data_Vendor_Ecosystem The Emerging Big Data Vendor Ecosystem]
+
-
*[http://wikibon.org/blog/ask-more-of-your-data-more-often/ Ask More of Your Data, More Often]
+
-
*[http://wikibon.org/blog/big-data-infographics/ The Big List of Big Data Infographics]
+
-
*[http://wikibon.org/blog/google-playing-the-big-data-long-game/ Google Playing the Big Data Long Game]
+
-
*[http://wikibon.org/blog/big-data-in-2012-hadoop-big-data-apps-data-science-tools-cloud-collision-and-more/ Big Data in 2012: Hadoop, Big Data Apps, Data Science Tools, Cloud Collision and More]
+
-
*[http://wikibon.org/blog/predictions-2012-big-data-flash-cloud-and-facebook/ Predictions 2012: Big Data, Flash, Cloud and Facebook]
+
-
*[[HBase, Sqoop, Flume and More: Apache Hadoop Defined]]
+
-
*[http://wikibon.org/blog/the-biggest-big-data-stories-of-2011/ The Biggest Big Data Stories of 2011]
+
-
*[http://wikibon.org/blog/big-data-statistics/ Definitive List of Big Data Statistics]
+
-
*[http://wikibon.org/blog/navigating-the-big-data-vendor-landscape/ Navigating the Big Data Vendor Landscape]
+
-
*[http://wikibon.org/blog/hadoop-big-data-focus-shifting-to-analytics-and-visualization/ Hadoop, Big Data Focus Shifting To Analytics and Visualization]
+
-
*[http://wikibon.org/blog/ibm-outperforms-even-apple-smarter-planet-big-data-and-cloud-power-the-future/ IBM Outperforms Even Apple: Smarter Planet, Big Data and Cloud Power the Future]
+
-
*[http://wikibon.org/blog/big-data-vdi-and-virtualization-2011-it-roadmaps/Big Data, VDI and Virtualization: 2011 IT Roadmaps]
+
-
*[http://wikibon.org/blog/is-big-data-utopia-near-at-hand/ Is Big Data Utopia Near at Hand?]
+
-
*[http://wikibon.org/blog/ten-%E2%80%9Cbig-data%E2%80%9D-realities-and-what-they-mean-to-you/ Ten “Big Data” Realities and What They Mean to You]
+
-
*[http://wikibon.org/blog/strata-conference-the-big-data-wave-is-coming/ Strata Conference: The Big Data Wave is Coming]
+
-
*[http://wikibon.org/blog/little-data-big-data-flash-and-cloud-tiering-predictions-2011/ Little Data, Big Data, Flash and Cloud Tiering: Predictions 2011]
+
 +
<br>
 +
[[Image:SPORTSDATASVLOGO.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/SportsDataSV_2014 #SportsDataSV 2014]</b>
 +
SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at #SportsDataSV 2014 at AT&T Park in San Francisco, April 2nd, 2014.
 +
Also see all videos from this show on [https://www.youtube.com/watch?v=j_YYMK8SJiU&list=PLenh213llmcbMmMLZoqnZKn-mI_k5mb1t SiliconANGLE's YouTube playlist].
 +
[http://wikibon.org/wiki/v/SportsDataSV_2014 Full list of videos and articles from the event here.]
 +
<br>
 +
[[Image:PERCONALIVE2014LOGO.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Percona_Live_2014 Percona Live 2014]</b>
 +
SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at Percona Live 2014 in Santa Clara, April 2nd and 3rd, 2014.
 +
Also see all videos from this show on [https://www.youtube.com/watch?v=PRBHEdVJ-BQ&list=PLenh213llmcYfRwF3jmvYEbgSXUoDfOsU SiliconANGLE's YouTube playlist].
 +
[http://wikibon.org/wiki/v/Percona_Live_2014 Full list of videos and articles from the event here.]
<br>
<br>
-
<hr>
+
[[Image:awssummitsf14LOGO.png|thumb|left|100px]]<b>[[AWS Summit San Francisco 2014]]</b>
 +
SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the AWS Summit 2014 News in San Francisco, March 26th, 2014. Also see all videos from this show on SiliconANGLE's
 +
[http://www.youtube.com/playlist?list=PLenh213llmcZV_YT75_NXTxit2KXLh6Fz AWS Summit 2014 YouTube Playlist].
 +
[http://wikibon.org/wiki/v/AWS_Summit_San_Francisco_2014 Full list of videos and articles from the event here.]
 +
 
<br>
<br>
-
<h3>Big Data Peer Incites from The Wikibon Project</h3>
+
[[Image:BIGDATASV2014LOGO.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/BigDataSV_2014 #BigDataSV 2014]</b>
-
Live discussions between Big Data practitioners and the Wikibon community.
+
SiliconANGLE and Wikibon are bringing theCUBE for three days of live coverage and interviews at #BigDataSV 2014 in Santa Clara, February 11-13, 2014.
 +
Also see all videos from this show on [http://www.youtube.com/watch?v=J4vhpDd0my8&list=PLenh213llmcYiyiYRzkku1MgwvrL_TIGN SiliconANGLE's YouTube playlist].
 +
[http://wikibon.org/wiki/v/BigDataSV_2014 Full list of videos and articles from the event here.]
-
[[Image:AttivioPI.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Combining_Unstructured_and_Structured_Data_to_Deliver_Big_Data_Business_Value Combining Unstructured and Structured Data to Deliver Big Data Business Value]</b>
+
<br>
-
Where exactly does the value in Big Data lie? In a recent Wikibon Peer Incite call, Relay Technology Management’s Dr. Brigham Hyde zeroed in on the answer. Deriving value from Big Data, said Hyde, requires unifying unstructured content & data with structured data in a way that allows end-users to gain deeper insights than possible with analysis of structured data alone.
+
[[Image:MITECIR2014LOGO.jpg|thumb|left|100px]]<b>[[MIT ECIR Cyber Security Workshop 2014]]</b>
 +
SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at MIT ECIR Cyber Security Workshop 2014, January 7th, 2014 in Cambridge, Mass.
 +
Also see all videos from this show on [http://www.youtube.com/playlist?list=PLenh213llmcbNzm4P1-c_kOXYQz6v1wtD SiliconANGLE's YouTube playlist].
 +
[http://wikibon.org/wiki/v/MIT_ECIR_Cyber_Security_Workshop_2014 Full list of videos and articles from the event here.]
-
<br>[[Image:BigDataDino.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Combining_Unstructured_and_Structured_Data_to_Deliver_Big_Data_Business_Value Big Data: Is Your Data Warehouse a Dinosaur]</b>
+
<br>
-
The Wikibon Community convened to consider whether the advent of Big Data with its focus on multiple kinds of data including unstructured data-types has turned the data warehouse into a dinosaur. The center piece of the discussion was a recent Wikibon study of the advantages and disadvantages of the Oracle Exadata IT appliance and similar offerings expected from IBM and HP, and a survey of early big data users.  
+
[[Image:HPDISCOVERBARCELONALOGO.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/HP_Discover_2013_in_Barcelona HP Discover Barcelona 2013]</b>
 +
SiliconANGLE and Wikibon are bringing theCUBE for three days of live coverage and interviews at HP Discover Barcelona, Spain, December 10th – 12th, 2013.
 +
Also see all videos from this show on [http://www.youtube.com/watch?v=pBnGc5EqbGQ&list=PLenh213llmcYOOqcEd2TE1GHjcK9nwY-Z SiliconANGLE's YouTube playlist].
 +
[http://wikibon.org/wiki/v/HP_Discover_2013_in_Barcelona Full list of videos and articles from the event here.]
-
<br>[[Image:TapadPI.png|left|thumb|100px]]<b>[http://wikibon.org/wiki/v/Optimizing_Infrastructure_for_Analytics-Driven_Real-Time_Decision_Making Optimizing Infrastructure for Analytics-Driven Real-Time Decision Making]</b>
+
<br>
-
Providing targeted advertisements on the web is a timely business. And by timely, that means milliseconds. That's how long Tapad has to help its clients analyze a web user's behavior profile, make a determination as to how much they are willing to bid to place an ad in front of that use, execute the auction and serve up the ad to the user. In this Peer Incite, Tapad discusses how it makes this real-time process hum using the Aerospike NoSQL database.
+
[[Image:Awsreinvent2013.png|thumb|left|100px]]<b>[[AWS re:Invent 2013]]</b>
 +
SiliconANGLE and Wikibon are bringing theCUBE for three days of live coverage and interviews at Amazon AWS re:Invent in Las Vegas, November 12th – 14th, 2013.
 +
Also see all videos from this show on [http://www.youtube.com/watch?v=pBnGc5EqbGQ&list=PLenh213llmcYOOqcEd2TE1GHjcK9nwY-Z SiliconANGLE's YouTube playlist].
 +
[[AWS re:Invent 2013|Full list of videos and articles from the event here.]]
 +
<br>
 +
[[Image:IBMINFOONDEMANDLOGO.jpg|thumb|left|100px]]<b>[[IBM Information on Demand 2013]]</b>
 +
SiliconANGLE and Wikibon brought theCUBE for two days of live coverage and interviews to IBM Information on Demand in Las Vegas, November 4th – 5th, 2013.
 +
Also see all videos from this show on [http://www.youtube.com/playlist?list=PLenh213llmcbnaXGoMdwOKSYmYf3TCMtM SiliconANGLE's YouTube playlist].
 +
[[IBM Information on Demand 2013|Full list of videos and articles from the event here.]]
<br>
<br>
-
<hr>
+
[[Image:BIGDATANYC13LOGO.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Big_Data_NYC_2013 #BigDataNYC 2013]</b>
 +
SiliconANGLE and Wikibon brought theCUBE for three days of live coverage and interviews at #BigDataNYC with coverage of #HadoopWorld in New York City, October 28-30, 2013.
 +
Also see all videos from this show on the [http://www.youtube.com/playlist?list=PLenh213llmcb2WrxTrFMo14lGDrzRzicb SiliconANGLE Big Data NYC 2013 YouTube playlist]. [http://wikibon.org/wiki/v/Big_Data_NYC_2013 Full list of videos and articles from the event here.]
 +
 
<br>
<br>
-
<h3>Big Data Infographics from The Wikibon Project</h3>
+
[[Image:OOW2013.png|thumb|left|100px]]<b>[[Oracle OpenWorld 2013]]</b>
-
Infographics and visualizations focused on Big Data and analytics.
+
SiliconANGLE and Wikibon is filming two days of live video at Oracle OpenWorld 2013 in San Francisco, September 23rd – 25th, 2013.<br>
 +
[[Oracle OpenWorld 2013|Full list of videos and articles from the event here.]]
 +
<br>
 +
[[Image:SPLUNKCONFLOGO.png|thumb|left|100px]]<b>[[Splunk .conf 2013]]</b>
 +
SiliconANGLE and Wikibon filmed two days of live video at Splunk .conf2013 in Las Vegas, October 1st – 2nd, 2013. Also see all videos from this show on [http://www.youtube.com/playlist?list=PLenh213llmcb5KqGihE6_Wn6-pXu8yrnK SiliconANGLE's Splunk 2013 YouTube playlist.]<br>
 +
[[Splunk .conf 2013|Full list of videos and articles from the event here.]]
-
[[Image:RealWorldInfoThumb.png |left|thumb|100px]]<b>[http://wikibon.org/blog/the-real-world-of-big-data-infographic/ The Real World of Big Data]</b>
+
<br>
-
 
+
[[Image:TABLEAUCONFERENCELOGO.jpg|thumb|left|100px]]<b>[[Tableau Customer Conference 2013]]</b>
-
The reality is that Big Data is today – here and now – delivering on its many promises. This infographic chronicles actual use cases and broad deployments of today along with the growth areas such as the Industrial Internet that will continue to gain traction over the next couple of years. There is also a visualization of Wikibon's exclusive market forecast including a break-down by product and solution categories.
+
SiliconANGLE and Wikibon is filming two days of live video at the Tableau Customer Conference in Washington, D.C., September 9th and 10th, 2013. Also see videos on the [http://www.youtube.com/watch?v=YiRS7IUNRbY&list=PLenh213llmcanIV0boOMXGiBGOFermEtE playlist on SiliconAngle's YouTube channel]. <br>
-
 
+
[[Tableau Customer Conference 2013|Full list of videos and articles from the event here.]]
-
 
+
-
 
+
-
 
+
-
[[Image:DataFootprintsThumb.png |left|thumb|100px]]<b>[http://wikibon.org/blog/data-footprints/ Data Footprints by Generations]</b>
+
-
 
+
-
Consumers generate over 3/4 of all data and therefore are a major contributor to the information explosion. This infographic compares the data footprint created through digital usage by Boomer, Gen-X and Millennial generations. The accompanying blog post discusses the underlying infrastructure architectural changes that are required to cope and take advantage of this massive volume of data.
+
-
 
+
-
 
+
-
[[Image:Big-data-200x200.png|left|thumb|100px]]<b>[http://wikibon.org/blog/taming-big-data/ Taming Big Data]</b>
+
-
 
+
-
Big Data can be a beast. Data volumes are growing exponentially. The types of data being created are likewise proliferating. And the speed at which data is being created – and the need to analyze it in near real-time to derive value from it – is increasing with each passing hour. But it is possible to tame the Big Data Beast, as evident in this infographic from The Wikibon Project. It includes real-world use cases and practitioner success stories.
+
-
 
+
-
<br>[[Image:data-scientist-200x200.jpg|left|thumb|100px]]<b>[http://wikibon.org/blog/role-of-the-data-scientist/ Data Science & The Role of the Data Scientist]</b>
+
-
 
+
-
While the concept of data science has been around for decades, the notion of a data scientist has become an in-demand career leading to a rise of a new generation of data scientists. Social media platforms such as Facebook depend on data science to create innovative, interactive features that encourage users to get interested and stay that way. Increasingly, more traditional firms in a variety of industries are realizing the need to find, hire and retain the new rock stars of the business world. Here is a visual walk-through of this concept and the role of the data scientist.
+
-
 
+
-
<br>[[Image:unstructured-data-200x200.jpg|left|thumb|100px]]<b>[http://wikibon.org/blog/unstructured-data/ The Rapid Growth in Unstructured Data]</b>
+
-
 
+
-
What’s critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. Most of these gigabytes of data will pass through the servers, network, or routers of an enterprise, which becomes responsible at that moment for managing that content, protecting user privacy, watching over account information, and protecting copyright.
+
-
 
+
<br>
<br>
-
<hr>
 
-
<br>
 
-
<h3>Big Data Videos from theCUBE and SiliconANGLE.tv</h3>
 
-
Collection of live Big Data event coverage and on-location reports.
 
-
 
[[Image:HPVertica-logos.png|thumb|left|100px]]<b>[[HP Vertica Big Data Conference 2013]]</b>
[[Image:HPVertica-logos.png|thumb|left|100px]]<b>[[HP Vertica Big Data Conference 2013]]</b>
SiliconANGLE and Wikibon is filming two days of live video at the HP Vertica Big Data Conference in Boston, August 6th and 7th, 2013. Also see videos on the [http://www.youtube.com/playlist?list=PLenh213llmcZu9D9-zTDJBpoSNWw2LiFA playlist on SiliconAngle's YouTube channel]. <br>
SiliconANGLE and Wikibon is filming two days of live video at the HP Vertica Big Data Conference in Boston, August 6th and 7th, 2013. Also see videos on the [http://www.youtube.com/playlist?list=PLenh213llmcZu9D9-zTDJBpoSNWw2LiFA playlist on SiliconAngle's YouTube channel]. <br>
[[HP Vertica Big Data Conference 2013|Full list of videos and articles from the event here.]]
[[HP Vertica Big Data Conference 2013|Full list of videos and articles from the event here.]]
-
 
+
<br>
[[Image:MIT-CDOIQ2013.png|thumb|left|100px]]<b>[[MIT CDOIQ Symposium 2013]]</b>
[[Image:MIT-CDOIQ2013.png|thumb|left|100px]]<b>[[MIT CDOIQ Symposium 2013]]</b>
SiliconANGLE and Wikibon is filming two days of live video at the MIT CDOIQ Symposium 2013 in Cambridge, July 17th and 18th, 2013. Also see videos from this show on [http://www.youtube.com/playlist?list=PLenh213llmcaXS9NvsqUxyP4hDZiMU7Tr SiliconAngle's YouTube playlist]. <br>
SiliconANGLE and Wikibon is filming two days of live video at the MIT CDOIQ Symposium 2013 in Cambridge, July 17th and 18th, 2013. Also see videos from this show on [http://www.youtube.com/playlist?list=PLenh213llmcaXS9NvsqUxyP4hDZiMU7Tr SiliconAngle's YouTube playlist]. <br>
[[MIT CDOIQ Symposium 2013|Full list of videos and articles from the event here.]]
[[MIT CDOIQ Symposium 2013|Full list of videos and articles from the event here.]]
 +
<br>
 +
[[Image:Sapphire2013.png|thumb|left|100px]]<b>[[SAP SAPPHIRE 2013]]</b>
 +
SiliconANGLE and Wikibon will film two days of live coveragefilmed live video at SAPPHIRE 2013 in Orlando from May 1415, 2013.<br>
 +
[[SAP SAPPHIRE 2013|Full list of videos and articles from the event here.]]
 +
<br>
[[Image:hadoopsummit13.png|thumb|left|100px]]<b>[[Hadoop Summit 2013]]</b>
[[Image:hadoopsummit13.png|thumb|left|100px]]<b>[[Hadoop Summit 2013]]</b>
SiliconANGLE and Wikibon filmed two days of live video at Hadoop Summit 2013 in San Jose, Calif. on June 26 and 27, 2013. <br>
SiliconANGLE and Wikibon filmed two days of live video at Hadoop Summit 2013 in San Jose, Calif. on June 26 and 27, 2013. <br>
[[Hadoop Summit 2013|Full list of videos and articles from the event here.]]
[[Hadoop Summit 2013|Full list of videos and articles from the event here.]]
 +
<br>
 +
[[Image:HPDISCOVERLOGO.jpg|thumb|left|100px]]<b>[[HP Discover 2013]]</b>
 +
SiliconANGLE and Wikibon filmed one day of live video at MongoDB Days 2013 in New York City on June 21, 2013. <br>
 +
[[MongoDB Days|Full list of videos and articles from the event here.]]
 +
<br>
[[Image:MONGODBDAYSLOGO.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/MongoDB_Days MongoDB Days NYC 2013]</b>
[[Image:MONGODBDAYSLOGO.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/MongoDB_Days MongoDB Days NYC 2013]</b>
-
SiliconANGLE and Wikibon filmed one day of live video at MongoDB Days 2013 in New York City on June 21, 2013. <br>
+
SSiliconANGLE and Wikibon is filming three days of live video at HP Discover 2013 in Las Vegas, June 11th through 13th, 2013.<br>
[[MongoDB Days|Full list of videos and articles from the event here.]]
[[MongoDB Days|Full list of videos and articles from the event here.]]
-
 
+
<br>
[[Image:GEindustrialInternet.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/GE_Industrial_Internet GE Industrial Internet Event 2013]</b>
[[Image:GEindustrialInternet.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/GE_Industrial_Internet GE Industrial Internet Event 2013]</b>
SiliconANGLE and Wikibon filmed one day of live video at GE's Industrial Internet event in San Francisco on June 18, 2013. <br>
SiliconANGLE and Wikibon filmed one day of live video at GE's Industrial Internet event in San Francisco on June 18, 2013. <br>
[[GE Industrial Internet|Full list of videos and articles from the event here.]]
[[GE Industrial Internet|Full list of videos and articles from the event here.]]
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+
<br>
[[Image:AccelPartners.jpg|thumb|left|100px]]<b>[[Accel Partners Symposium 2013]]</b>
[[Image:AccelPartners.jpg|thumb|left|100px]]<b>[[Accel Partners Symposium 2013]]</b>
SiliconANGLE and Wikibon filmed one day of live video at Accel Partners Symposium 2013 at Stanford University on April 30, 2013. <br>
SiliconANGLE and Wikibon filmed one day of live video at Accel Partners Symposium 2013 at Stanford University on April 30, 2013. <br>
[[Accel_Partners_Symposium_2013|Full list of videos and articles from the event here.]]
[[Accel_Partners_Symposium_2013|Full list of videos and articles from the event here.]]
-
 
+
<br>
[[Image:Strata_Conference_Logo.png|thumb|left|100px]]<b>[[O'Reilly Strata Conference: Making Data Work 2013]]</b>
[[Image:Strata_Conference_Logo.png|thumb|left|100px]]<b>[[O'Reilly Strata Conference: Making Data Work 2013]]</b>
SiliconANGLE and Wikibon filmed three days of live video at Strata Conference Santa Clara 2013 on February 26-28, 2013.<br>
SiliconANGLE and Wikibon filmed three days of live video at Strata Conference Santa Clara 2013 on February 26-28, 2013.<br>
[[O'Reilly_Strata_Conference:_Making_Data_Work_2013|Full list of videos and articles from the event here.]]
[[O'Reilly_Strata_Conference:_Making_Data_Work_2013|Full list of videos and articles from the event here.]]
-
 
+
<br>
[[Image: TUGG_logo.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/TUGG_Big_Data_Dinner_2013 TUGG Big Data Event 2013]</b>
[[Image: TUGG_logo.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/TUGG_Big_Data_Dinner_2013 TUGG Big Data Event 2013]</b>
SiliconANGLE and Wikibon filmed video with numerous Big Data start-ups at the annual fundraiser for TUGG, or Technology Underwriting theGreater Good, in Boston on January 31, 2013.<br>
SiliconANGLE and Wikibon filmed video with numerous Big Data start-ups at the annual fundraiser for TUGG, or Technology Underwriting theGreater Good, in Boston on January 31, 2013.<br>
[http://wikibon.org/wiki/v/TUGG_Big_Data_Dinner_2013 Full list of videos and articles from the event here.]
[http://wikibon.org/wiki/v/TUGG_Big_Data_Dinner_2013 Full list of videos and articles from the event here.]
-
 
+
<br>
[[Image: hackreduceopening.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Hack/reduce_Launch hack/reduce Launch Event 2012]</b>
[[Image: hackreduceopening.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Hack/reduce_Launch hack/reduce Launch Event 2012]</b>
SiliconANGLE and Wikibon filmed video at the opening of hack/reduce, a Big Data accelerator in Cambridge, Mass., on November 8, 2012.<br>
SiliconANGLE and Wikibon filmed video at the opening of hack/reduce, a Big Data accelerator in Cambridge, Mass., on November 8, 2012.<br>
[http://wikibon.org/wiki/v/Hack/reduce_Launch Full list of videos and articles from the event here.]
[http://wikibon.org/wiki/v/Hack/reduce_Launch Full list of videos and articles from the event here.]
-
 
+
<br>
[[Image: stratahadoopworldlogo.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Strata_Conference_and_Hadoop_World_2012 Strata Conference + Hadoop World 2012]</b>
[[Image: stratahadoopworldlogo.jpg|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Strata_Conference_and_Hadoop_World_2012 Strata Conference + Hadoop World 2012]</b>
SiliconANGLE and Wikibon filmed two days of live video at Strata Conference + Hadoop World 2012 on October 24 & 25, 2012 in New York City.
SiliconANGLE and Wikibon filmed two days of live video at Strata Conference + Hadoop World 2012 on October 24 & 25, 2012 in New York City.
<br>[http://wikibon.org/wiki/v/Strata_Conference_and_Hadoop_World_2012 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/Strata_Conference_and_Hadoop_World_2012 Full list of videos and articles from the event here.]
-
 
+
<br>
[[Image:IBMIOD2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/IBM_Information_On_Demand_2012 IBM Information on Demand 2012]</b>
[[Image:IBMIOD2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/IBM_Information_On_Demand_2012 IBM Information on Demand 2012]</b>
SiliconANGLE and Wikibon filmed two days of live video at IBM Information On Demand in Las Vegas, October 22 and 23, 2012.
SiliconANGLE and Wikibon filmed two days of live video at IBM Information On Demand in Las Vegas, October 22 and 23, 2012.
<br>[http://wikibon.org/wiki/v/IBM_Information_On_Demand_2012 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/IBM_Information_On_Demand_2012 Full list of videos and articles from the event here.]
-
 
+
<br>
[[Image:Splunkconf2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Splunk_.conf_2012 Splunk .conf 2012]</b>
[[Image:Splunkconf2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Splunk_.conf_2012 Splunk .conf 2012]</b>
SiliconANGLE and Wikibon filmed two days of live video at Splunk .conf 2012 in Las Vegas, September 11 and 12, 2012.
SiliconANGLE and Wikibon filmed two days of live video at Splunk .conf 2012 in Las Vegas, September 11 and 12, 2012.
<br>[http://wikibon.org/wiki/v/Splunk_.conf_2012 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/Splunk_.conf_2012 Full list of videos and articles from the event here.]
 +
<br>
 +
[[Image:OracleOpenWorld2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Oracle_Open_World_2012 Oracle OpenWorld 2012]</b>
 +
SiliconANGLE and Wikibon filmed three days of live video at Oracle OpenWorld 2012 in San Franciso, California, October 2-4, 2012.
 +
<br>[http://wikibon.org/wiki/v/Oracle_Open_World_2012 Full list of videos and articles from the event here.]
 +
<br>
[[Image:Cs2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Cassandra_Summit_2012 Cassandra Summit 2012]</b>
[[Image:Cs2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Cassandra_Summit_2012 Cassandra Summit 2012]</b>
Original Content: SiliconANGLE and Wikibon filmed live video at Cassandra Summit in Santa Clara, Calif. on August 8, 2012.
Original Content: SiliconANGLE and Wikibon filmed live video at Cassandra Summit in Santa Clara, Calif. on August 8, 2012.
<br>[http://wikibon.org/wiki/v/Cassandra_Summit_2012 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/Cassandra_Summit_2012 Full list of videos and articles from the event here.]
-
 
+
<br>
[[Image:HadoopSummit2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Hadoop_Summit_2012 Hadoop Summit 2012]</b>
[[Image:HadoopSummit2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Hadoop_Summit_2012 Hadoop Summit 2012]</b>
SiliconANGLE and Wikibon filmed two days of live video at Hadoop Summit in San Jose, Calif. June 13 and 14, 2012.
SiliconANGLE and Wikibon filmed two days of live video at Hadoop Summit in San Jose, Calif. June 13 and 14, 2012.
<br>[http://wikibon.org/wiki/v/Hadoop_Summit_2012 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/Hadoop_Summit_2012 Full list of videos and articles from the event here.]
 +
<br>
 +
[[Image:HPDiscover2012.png|thumb|left|100px]]<b>[[HP Discover 2012]]</b>
 +
SiliconANGLE and Wikibon filmed three days of live video at HP Discover in Las Vegas, June 5 through 7, 2012.<br>[http://wikibon.org/wiki/v/HP_Discover_2012 Full list of videos and articles from the event here.]
 +
<br>
[[Image:Bostonbigdata2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Boston_is_Big_Data_World's_Beast_in_the_East Boston: Big Data's Beast in the East]</b>
[[Image:Bostonbigdata2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Boston_is_Big_Data_World's_Beast_in_the_East Boston: Big Data's Beast in the East]</b>
SiliconANGLE and Wikibon filmed video at the Cambridge, Mass. Headquarters of Atlas Venture on May 27, 2012. 2012.<br>[http://wikibon.org/wiki/v/Boston_is_Big_Data_World's_Beast_in_the_East Full list of videos and articles from the event here.]
SiliconANGLE and Wikibon filmed video at the Cambridge, Mass. Headquarters of Atlas Venture on May 27, 2012. 2012.<br>[http://wikibon.org/wiki/v/Boston_is_Big_Data_World's_Beast_in_the_East Full list of videos and articles from the event here.]
-
 
 +
<br>
[[Image:HBaseCon2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/HBaseCon_2012 HBaseCon 2012]</b>
[[Image:HBaseCon2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/HBaseCon_2012 HBaseCon 2012]</b>
SiliconANGLE and Wikibon filmed live video at HBaseCon 2012 in San Francisco on May 22, 2012.
SiliconANGLE and Wikibon filmed live video at HBaseCon 2012 in San Francisco on May 22, 2012.
<br>[http://wikibon.org/wiki/v/HBaseCon_2012 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/HBaseCon_2012 Full list of videos and articles from the event here.]
 +
<br>
 +
[[Image:SAPPHIRE2012.png|thumb|left|100px]]<b>[[SAP SAPPHIRE 2012]]</b>
 +
SiliconANGLE and Wikibon filmed three days of live video at SAPPHIRE 2012 in Orlando, Fla., May 14 through 16, 2012.<br>
 +
[[SAP SAPPHIRE 2012|Full list of videos and articles from the event here.]]
 +
<br>
[[Image:EMCWORLD2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/EMC_World_and_Data_Science_Summit_2012 EMC World and Data Science Summit 2012]</b>
[[Image:EMCWORLD2012.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/EMC_World_and_Data_Science_Summit_2012 EMC World and Data Science Summit 2012]</b>
SiliconANGLE and Wikibon filmed three days of live video at EMC World and Data Science Summit in Las Vegas, May 21 through 23, 2012.
SiliconANGLE and Wikibon filmed three days of live video at EMC World and Data Science Summit in Las Vegas, May 21 through 23, 2012.
<br>[http://wikibon.org/wiki/v/EMC_World_and_Data_Science_Summit_2012 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/EMC_World_and_Data_Science_Summit_2012 Full list of videos and articles from the event here.]
-
 
+
<br>
[[Image:Strataconf.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/O%27Reilly_Strata_Conference:_Making_Data_Work_2012 Strata Conference: Making Data Work]</b>
[[Image:Strataconf.png|thumb|left|100px]]<b>[http://wikibon.org/wiki/v/O%27Reilly_Strata_Conference:_Making_Data_Work_2012 Strata Conference: Making Data Work]</b>
SiliconANGLE and Wikibon filmed three days of live video at O'Reilly Strata Conference: Making Data Work 2012 in Santa Clara, Calif., Feb. 28 through Mar. 1, 2012.
SiliconANGLE and Wikibon filmed three days of live video at O'Reilly Strata Conference: Making Data Work 2012 in Santa Clara, Calif., Feb. 28 through Mar. 1, 2012.
<br>[http://wikibon.org/wiki/v/O%27Reilly_Strata_Conference:_Making_Data_Work_2012 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/O%27Reilly_Strata_Conference:_Making_Data_Work_2012 Full list of videos and articles from the event here.]
-
 
+
<br>
[[Image: HadoopWorld2011.png |thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Hadoop_World_2011 Hadoop World 2011]</b>
[[Image: HadoopWorld2011.png |thumb|left|100px]]<b>[http://wikibon.org/wiki/v/Hadoop_World_2011 Hadoop World 2011]</b>
SiliconANGLE and Wikibon filmed two days of live video at Hadoop World 2011 in New York City, Nov. 8 & 9, 2011.
SiliconANGLE and Wikibon filmed two days of live video at Hadoop World 2011 in New York City, Nov. 8 & 9, 2011.
<br>[http://wikibon.org/wiki/v/Hadoop_World_2011 Full list of videos and articles from the event here.]
<br>[http://wikibon.org/wiki/v/Hadoop_World_2011 Full list of videos and articles from the event here.]
 +
<br>
 +
[[Image:emcworld2011.jpg|thumb|left|100px]]<b>[[EMC World 2011]]</b>
 +
SiliconAngle and Wikibon filmed 3 days of videos at EMC World in Las Vegas, May 9-11, 2011.<br>[http://wikibon.org/wiki/v/EMC_World_2011 Full list of videos and articles from the event here.]
 +
<br>
[[Image:hw2010.png|thumb|left|100px]]<b>[http://www.youtube.com/playlist?list=PLE8ABB18E6ECCE0B9 Hadoop World 2010]</b>
[[Image:hw2010.png|thumb|left|100px]]<b>[http://www.youtube.com/playlist?list=PLE8ABB18E6ECCE0B9 Hadoop World 2010]</b>
SiliconANGLE and Wikibon filmed live video at Hadoop World 2010 in New York City, Oct. 12, 2010. 2011.<br>[http://www.youtube.com/playlist?list=PLE8ABB18E6ECCE0B9 Full list of videos and articles from the event here.]
SiliconANGLE and Wikibon filmed live video at Hadoop World 2010 in New York City, Oct. 12, 2010. 2011.<br>[http://www.youtube.com/playlist?list=PLE8ABB18E6ECCE0B9 Full list of videos and articles from the event here.]
-
<br><b>Additional Event Coverage from theCUBE</b>
+
 
-
*[[HP Discover 2013]]
+
 
-
*[[IBM Edge 2013]]
+
 
-
*[[EMC World 2013]]
+
===Infographics: Big Data===
-
*[[OpenStack Summit 2013]]
+
 
-
*[[SAP SAPPHIRE 2013]]
+
[[Image:RealWorldInfoThumb.png |left|thumb|100px]]<b>[http://wikibon.org/blog/the-real-world-of-big-data-infographic/ The Real World of Big Data]</b>
-
*[[Knowledge13]]
+
The reality is that Big Data is today – here and now – delivering on its many promises. This infographic chronicles actual use cases and broad deployments of today along with the growth areas such as the Industrial Internet that will continue to gain traction over the next couple of years. There is also a visualization of Wikibon's exclusive market forecast including a break-down by product and solution categories.
-
*[http://wikibon.org/wiki/v/Oracle_Open_World_2012 Oracle OpenWorld 2012]
+
-
*[[VMworld 2012]]
+
-
*[[HP Discover 2012]]
+
-
*[[IBM Edge 2012]]
+
-
*[[SAP SAPPHIRE 2012]]
+
-
*[[Oracle OpenWorld 2011]]
+
-
*[[VMworld 2011]]
+
-
*[[HP Discover 2011]]
+
-
*[http://wikibon.org/wiki/v/EMC_World_2011_Videos EMC World 2011]
+
-
*[[SAP SAPPHIRE 2011]]
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<br>
<br>
-
<hr>
+
[[Image:DataFootprintsThumb.png |left|thumb|100px]]<b>[http://wikibon.org/blog/data-footprints/ Data Footprints by Generations]</b>
 +
Consumers generate over 3/4 of all data and therefore are a major contributor to the information explosion. This infographic compares the data footprint created through digital usage by Boomer, Gen-X and Millennial generations. The accompanying blog post discusses the underlying infrastructure architectural changes that are required to cope and take advantage of this massive volume of data.
 +
 
<br>
<br>
 +
[[Image:Big-data-200x200.png|left|thumb|100px]]<b>[http://wikibon.org/blog/taming-big-data/ Taming Big Data]</b>
 +
Big Data can be a beast. Data volumes are growing exponentially. The types of data being created are likewise proliferating. And the speed at which data is being created – and the need to analyze it in near real-time to derive value from it – is increasing with each passing hour. But it is possible to tame the Big Data Beast, as evident in this infographic from The Wikibon Project. It includes real-world use cases and practitioner success stories.
-
<h3>Big Data Presentations from The Wikibon Project</h3>
 
-
 
-
Big Data presentation decks from Wikibon analysts.
 
-
 
-
[[Image:InteropPreso.png |thumb|left|100px]]<b>[http://www.slideshare.net/stuminiman/big-data-interop Big Data? No. Big Decisions are What You Need - Interop Las Vegas 2012]</b>
 
-
A look at what Big Data is, the market opportunity, some customer use cases and how users should think about taking advantage of the opportunities. Especially targeted for explaining to an audience of infrastructure practitioners that the design requirements are different than traditional data center technologies.
 
-
<br>[http://www.slideshare.net/stuminiman/big-data-interop View or download the full presentation here.]
 
-
 
<br>
<br>
-
+
[[Image:data-scientist-200x200.jpg|left|thumb|100px]]<b>[http://wikibon.org/blog/role-of-the-data-scientist/ Data Science & The Role of the Data Scientist]</b>
-
[[Image:TalendConnectPreso.png |thumb|left|100px]]<b>[http://www.slideshare.net/jeffkelly568/wikibon-big-data-talend-connect Democratizing Big Data - Talend Connect 2012]</b>
+
While the concept of data science has been around for decades, the notion of a data scientist has become an in-demand career leading to a rise of a new generation of data scientists. Social media platforms such as Facebook depend on data science to create innovative, interactive features that encourage users to get interested and stay that way. Increasingly, more traditional firms in a variety of industries are realizing the need to find, hire and retain the new rock stars of the business world. Here is a visual walk-through of this concept and the role of the data scientist.
-
Big Data holds the potential to dramatically change the way enterprises do business across industries. Yet despite the enormous potential of Big Data, adoption among mainstream enterprises is relatively low. Find out what it will take to democratize Big Data.
+
-
<br>[http://www.slideshare.net/jeffkelly568/wikibon-big-data-talend-connect View or download the full presentation here.]
+
<br>
<br>
-
<hr>
+
[[Image:unstructured-data-200x200.jpg|left|thumb|100px]]<b>[http://wikibon.org/blog/unstructured-data/ The Rapid Growth in Unstructured Data]</b>
-
<br>
+
What’s critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. Most of these gigabytes of data will pass through the servers, network, or routers of an enterprise, which becomes responsible at that moment for managing that content, protecting user privacy, watching over account information, and protecting copyright.
-
<h3>Additional Big Data Links and Resources</h3>
+
 
-
*[http://siliconangle.com/?s=big+data Big Data News from SiliconANGLE]
+
 
-
*[http://www.youtube.com/user/siliconangle/featured Video from theCUBE and SiliconANGLE on YouTube]
+
 
-
*[http://www.forbes.com/sites/haydnshaughnessy/2012/02/03/who-are-the-top-20-influencers-in-big-data/ The Top 20 Influencers in Big Data]
+
 
 +
===Additional Big Data Resources===
 +
 
 +
*[http://wikibon.org/blog/tag/big-data/ Big Data analysis from the Wikibon blog]
 +
*[http://live.siliconangle.tv Live video from theCUBE on SiliconANGLE.tv]
 +
*[http://www.youtube.com/user/siliconangle/featured Video from theCUBE on YouTube]
 +
*[http://www.forbes.com/sites/haydnshaughnessy/2012/02/03/who-are-the-top-20-influencers-in-big-data/ Forbes Top 20 Influencers in Big Data]
*[http://wikibon.org/wiki/v/Category:Big_Data Wikibon's Complete Archive of Big Data Professional Alerts]
*[http://wikibon.org/wiki/v/Category:Big_Data Wikibon's Complete Archive of Big Data Professional Alerts]
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<meta name="title" content="Wikibon Big Data Research and Analysis | Big Data | Research, Articles, Media" />   
<meta name="description" content="A curated page of big data resources, including articles, research, infographics, and media assets" />
<meta name="description" content="A curated page of big data resources, including articles, research, infographics, and media assets" />
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<!--|body|-->[[Category:Big Data]][[Category: Big Data analytics]][[Category: Big Data market]][[Category: Business analytics]][[Category: Hadoop]]
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<!--|body|-->[[Category:Big Data]][[Category: Big Data analytics]][[Category: Big Data market]][[Category: Business analytics]][[Category: Hadoop]][[Category: Microsite]]

Current revision as of 18:55, 26 February 2015

THIS PAGE IS NO LONGER BEING UPDATED. FOR ALL WIKIBON BIG DATA RESEARCH CONTENT VISIT PREMIUM.WIKIBON.COM/BIG-DATA.


Big Data Research and Analysis from Wikibon
Follow Wikibon Big Data Analyst Jeff Kelly on Twitter and LinkedIn.

Contents

Featured Research: Big Data


Hadoop-NoSQL Software and Services Market Forecast, 2013-2017
The market for Hadoop/NoSQL software and services topped $1 billion in 2013 as measured by vendor revenue. Over the next five years, Wikibon forecasts this market to grow to nearly $3.3 billion, a compound annual growth rate (CAGR) of 45%. Demand for new approaches for processing, storing, analyzing and delivering value from Big Data is the main catalyst driving the Hadoop/NoSQL software and services market.


Wikibon Big Data Analytics Survey, 2014-2015
Judging by media reports, Big Data analytics is as easy as collecting some data, deploying an application or two and waiting for the “game-changing” insights to start rolling in. The reality is Big Data analytics is hard. With this as backdrop, Wikibon set out to understand the state of Big Data analytics adoption in the enterprise and to identify the top barriers and challenges to success.


Big Data Vendor Revenue and Market Forecast, 2013-2017
The Big Data market is on the verge of a rapid growth spurt that will see it over the $50 billion mark worldwide within the next five years. The analysis in this in-depth research report highlights Wikibon’s five-year forecast for the Big Data market as a whole as well as vendor revenue estimates. It includes full analysis of the leading market growth catalysts and advice for enterprise CIOs and business leaders looking to capitalize on Big Data and business analytics.


The Wikibon Big Data Manifesto
Big Data is the new definitive source of competitive advantage across all industries. Enterprises and technology vendors that dismiss Big Data as a passing fad do so at their peril and, in our opinion, will soon find themselves struggling to keep up with more foreword-thinking rivals. For those organizations that understand and embrace the new reality of Big Data, the possibilities for new innovation, improved agility, and increased profitability are nearly endless.


The Industrial Internet and Big Data Analytics: Opportunities and Challenges
While Wikibon believes that Big Data is the new definitive source of competitive advantage across all vertical markets, the stakes are highest – financial and societal -- in those industry sectors that make up the Industrial Internet. The high value and consequences of harnessing this data, therefore, demand the development of specialized platforms, data models, and analytic capabilities to meet these unique, stringent, and critical requirements.


Most Recent Research: Big Data



theCUBE: Big Data


AWS re:Invent 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at AWS re:Invent 2014, November 12-13, 2014 in Las Vegas. Interview archives available on SiliconANGLE's AWS re:Invent 2014 YouTube Playlist.Please visit theCUBE Event Page for guest information and Chapter'd interviews.


IBM Insight 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at IBM Insight 2014, October 27-28, 2014 in Las Vegas. Interview archives available on SiliconANGLE's IBM Insight 2014 YouTube Playlist. Please visit theCUBE Event Page for guest information and Chapter'd interviews.


Hadoop on the Hudson 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at Hadoop on the Hudson, October 16, 2014 in Manhattan. Interview archives available on SiliconANGLE's Hadoop on the Hudson 2014 YouTube Playlist.Please visit theCUBE Event Page for guest information and Chapter'd interviews.


BigDataNYC 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at #BigDataNYC 2014, October 16 – 17, 2014 in New York City. Interview archives available on SiliconANGLE's #BigDataNYC 2014 YouTube Playlist.


Oracle OpenWorld 2014

SiliconANGLE and Wikibon are bringing theCUBE for three days of live coverage and interviews in 2 booths (Cisco/blue and QLogic/white) at Oracle OpenWorld 2014, September 29 –October 1, 2014 in San Francisco, CA. Interview archives available on SiliconANGLE's Oracle OpenWorld 2014 White YouTube Playlist.SiliconANGLE's Oracle OpenWorld 2014 Blue YouTube Playlist.


Splunk .conf 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at Splunk .conf2014, October 7 – 8, 2014 in Las Vegas. Interview archives available on SiliconANGLE's Splunk .conf2014 YouTube Playlist.


Tableau Conference 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at Tableau Conference 2014, September 8 – 12, 2014 in Seattle, WA. Please visit theCUBE Event Page for guest information and Chapter'd interviews. Interview archives available on SiliconANGLE's Tableau Conference 2014 YouTube Playlist.


HP Vertica Big Data Conference 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at the HP Vertica Big Data Conference 2014, August 12-13, 2014. Please visit theCUBE Event Page for guest information and Chapter'd interviews. Interview archives available on SiliconANGLE's HP Vertica Big Data Conference 2014 YouTube Playlist. Full list of videos and articles from the event here.


MIT CDOIQ Symposium 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at the MIT Chief Data Officer and Information Quality Symposium in Cambridge, July 23rd - 24th, 2014. Please visit theCUBE Event Page for guest information and Chapter'd interviews. Interview archives available on SiliconANGLE's MIT Chief Data Officer and Information Quality Symposium YouTube Playlist. Full list of videos and articles from the event here.


HP Discover 2014

SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the HP Discover 2014 Las Vegas, June 9th - 12th, 2014. Please visit theCUBE Event Page for guest information and Chapter'd interviews. Interview archives available on SiliconANGLE's HP Discover 2014 Las Vegas YouTube Playlist. Full list of videos and articles from the event here.


Hadoop Summit 2014

SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the Hadoop Summit 2014 in Las Vegas, May 19th – 20th, 2014. Also see all videos from this show on SiliconANGLE's YouTube playlist. Full list of videos and articles from the event here.


EMC World 2014

SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the EMC World 2014 News in Las Vegas, May 5th - 8th, 2014. Also see all videos from this show on SiliconANGLE's EMC World 2014 YouTube Playlist and the CrowdChat and enhanced media player on SiliconANGLE.tv for EMC World 2014. Full list of videos and articles from the event here.


IBM Impact 2014

SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the IBM Impact 2014 News in Las Vegas, April 28th - 29th, 2014. Also see all videos from this show on SiliconANGLE's IBM Impact 2014 YouTube Playlist. Full list of videos and articles from the event here.


Red Hat Summit 2014

SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the Red Hat Summit 2014 News in San Francisco, April 15th - 16th, 2014. Also see all videos from this show on SiliconANGLE's Red Hat Summit 2014 YouTube Playlist. Full list of videos and articles from the event here.


#SportsDataSV 2014

SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at #SportsDataSV 2014 at AT&T Park in San Francisco, April 2nd, 2014. Also see all videos from this show on SiliconANGLE's YouTube playlist. Full list of videos and articles from the event here.


Percona Live 2014

SiliconANGLE and Wikibon are bringing theCUBE for two days of live coverage and interviews at Percona Live 2014 in Santa Clara, April 2nd and 3rd, 2014. Also see all videos from this show on SiliconANGLE's YouTube playlist. Full list of videos and articles from the event here.


AWS Summit San Francisco 2014

SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at the AWS Summit 2014 News in San Francisco, March 26th, 2014. Also see all videos from this show on SiliconANGLE's AWS Summit 2014 YouTube Playlist. Full list of videos and articles from the event here.


#BigDataSV 2014

SiliconANGLE and Wikibon are bringing theCUBE for three days of live coverage and interviews at #BigDataSV 2014 in Santa Clara, February 11-13, 2014. Also see all videos from this show on SiliconANGLE's YouTube playlist. Full list of videos and articles from the event here.


MIT ECIR Cyber Security Workshop 2014

SiliconANGLE and Wikibon are bringing theCUBE for one day of live coverage and interviews at MIT ECIR Cyber Security Workshop 2014, January 7th, 2014 in Cambridge, Mass. Also see all videos from this show on SiliconANGLE's YouTube playlist. Full list of videos and articles from the event here.


HP Discover Barcelona 2013

SiliconANGLE and Wikibon are bringing theCUBE for three days of live coverage and interviews at HP Discover Barcelona, Spain, December 10th – 12th, 2013. Also see all videos from this show on SiliconANGLE's YouTube playlist. Full list of videos and articles from the event here.


AWS re:Invent 2013

SiliconANGLE and Wikibon are bringing theCUBE for three days of live coverage and interviews at Amazon AWS re:Invent in Las Vegas, November 12th – 14th, 2013. Also see all videos from this show on SiliconANGLE's YouTube playlist. Full list of videos and articles from the event here.


IBM Information on Demand 2013

SiliconANGLE and Wikibon brought theCUBE for two days of live coverage and interviews to IBM Information on Demand in Las Vegas, November 4th – 5th, 2013. Also see all videos from this show on SiliconANGLE's YouTube playlist. Full list of videos and articles from the event here.


#BigDataNYC 2013

SiliconANGLE and Wikibon brought theCUBE for three days of live coverage and interviews at #BigDataNYC with coverage of #HadoopWorld in New York City, October 28-30, 2013. Also see all videos from this show on the SiliconANGLE Big Data NYC 2013 YouTube playlist. Full list of videos and articles from the event here.


Oracle OpenWorld 2013

SiliconANGLE and Wikibon is filming two days of live video at Oracle OpenWorld 2013 in San Francisco, September 23rd – 25th, 2013.
Full list of videos and articles from the event here.


Splunk .conf 2013

SiliconANGLE and Wikibon filmed two days of live video at Splunk .conf2013 in Las Vegas, October 1st – 2nd, 2013. Also see all videos from this show on SiliconANGLE's Splunk 2013 YouTube playlist.
Full list of videos and articles from the event here.


Tableau Customer Conference 2013

SiliconANGLE and Wikibon is filming two days of live video at the Tableau Customer Conference in Washington, D.C., September 9th and 10th, 2013. Also see videos on the playlist on SiliconAngle's YouTube channel.
Full list of videos and articles from the event here.


HP Vertica Big Data Conference 2013

SiliconANGLE and Wikibon is filming two days of live video at the HP Vertica Big Data Conference in Boston, August 6th and 7th, 2013. Also see videos on the playlist on SiliconAngle's YouTube channel.
Full list of videos and articles from the event here.


MIT CDOIQ Symposium 2013

SiliconANGLE and Wikibon is filming two days of live video at the MIT CDOIQ Symposium 2013 in Cambridge, July 17th and 18th, 2013. Also see videos from this show on SiliconAngle's YouTube playlist.
Full list of videos and articles from the event here.


SAP SAPPHIRE 2013

SiliconANGLE and Wikibon will film two days of live coveragefilmed live video at SAPPHIRE 2013 in Orlando from May 1415, 2013.
Full list of videos and articles from the event here.


Hadoop Summit 2013

SiliconANGLE and Wikibon filmed two days of live video at Hadoop Summit 2013 in San Jose, Calif. on June 26 and 27, 2013.
Full list of videos and articles from the event here.


HP Discover 2013

SiliconANGLE and Wikibon filmed one day of live video at MongoDB Days 2013 in New York City on June 21, 2013.
Full list of videos and articles from the event here.


MongoDB Days NYC 2013

SSiliconANGLE and Wikibon is filming three days of live video at HP Discover 2013 in Las Vegas, June 11th through 13th, 2013.
Full list of videos and articles from the event here.


GE Industrial Internet Event 2013

SiliconANGLE and Wikibon filmed one day of live video at GE's Industrial Internet event in San Francisco on June 18, 2013.
Full list of videos and articles from the event here.


Accel Partners Symposium 2013

SiliconANGLE and Wikibon filmed one day of live video at Accel Partners Symposium 2013 at Stanford University on April 30, 2013.
Full list of videos and articles from the event here.


O'Reilly Strata Conference: Making Data Work 2013

SiliconANGLE and Wikibon filmed three days of live video at Strata Conference Santa Clara 2013 on February 26-28, 2013.
Full list of videos and articles from the event here.


TUGG Big Data Event 2013

SiliconANGLE and Wikibon filmed video with numerous Big Data start-ups at the annual fundraiser for TUGG, or Technology Underwriting theGreater Good, in Boston on January 31, 2013.
Full list of videos and articles from the event here.


hack/reduce Launch Event 2012

SiliconANGLE and Wikibon filmed video at the opening of hack/reduce, a Big Data accelerator in Cambridge, Mass., on November 8, 2012.
Full list of videos and articles from the event here.


Strata Conference + Hadoop World 2012

SiliconANGLE and Wikibon filmed two days of live video at Strata Conference + Hadoop World 2012 on October 24 & 25, 2012 in New York City.
Full list of videos and articles from the event here.


IBM Information on Demand 2012

SiliconANGLE and Wikibon filmed two days of live video at IBM Information On Demand in Las Vegas, October 22 and 23, 2012.
Full list of videos and articles from the event here.


Splunk .conf 2012

SiliconANGLE and Wikibon filmed two days of live video at Splunk .conf 2012 in Las Vegas, September 11 and 12, 2012.
Full list of videos and articles from the event here.


Oracle OpenWorld 2012

SiliconANGLE and Wikibon filmed three days of live video at Oracle OpenWorld 2012 in San Franciso, California, October 2-4, 2012.
Full list of videos and articles from the event here.


Cassandra Summit 2012

Original Content: SiliconANGLE and Wikibon filmed live video at Cassandra Summit in Santa Clara, Calif. on August 8, 2012.
Full list of videos and articles from the event here.


Hadoop Summit 2012

SiliconANGLE and Wikibon filmed two days of live video at Hadoop Summit in San Jose, Calif. June 13 and 14, 2012.
Full list of videos and articles from the event here.


HP Discover 2012

SiliconANGLE and Wikibon filmed three days of live video at HP Discover in Las Vegas, June 5 through 7, 2012.
Full list of videos and articles from the event here.


Boston: Big Data's Beast in the East

SiliconANGLE and Wikibon filmed video at the Cambridge, Mass. Headquarters of Atlas Venture on May 27, 2012. 2012.
Full list of videos and articles from the event here.


HBaseCon 2012

SiliconANGLE and Wikibon filmed live video at HBaseCon 2012 in San Francisco on May 22, 2012.
Full list of videos and articles from the event here.


SAP SAPPHIRE 2012

SiliconANGLE and Wikibon filmed three days of live video at SAPPHIRE 2012 in Orlando, Fla., May 14 through 16, 2012.
Full list of videos and articles from the event here.


EMC World and Data Science Summit 2012

SiliconANGLE and Wikibon filmed three days of live video at EMC World and Data Science Summit in Las Vegas, May 21 through 23, 2012.
Full list of videos and articles from the event here.


Strata Conference: Making Data Work

SiliconANGLE and Wikibon filmed three days of live video at O'Reilly Strata Conference: Making Data Work 2012 in Santa Clara, Calif., Feb. 28 through Mar. 1, 2012.
Full list of videos and articles from the event here.


Hadoop World 2011

SiliconANGLE and Wikibon filmed two days of live video at Hadoop World 2011 in New York City, Nov. 8 & 9, 2011.
Full list of videos and articles from the event here.


EMC World 2011

SiliconAngle and Wikibon filmed 3 days of videos at EMC World in Las Vegas, May 9-11, 2011.
Full list of videos and articles from the event here.


Hadoop World 2010

SiliconANGLE and Wikibon filmed live video at Hadoop World 2010 in New York City, Oct. 12, 2010. 2011.
Full list of videos and articles from the event here.



Infographics: Big Data

The Real World of Big Data

The reality is that Big Data is today – here and now – delivering on its many promises. This infographic chronicles actual use cases and broad deployments of today along with the growth areas such as the Industrial Internet that will continue to gain traction over the next couple of years. There is also a visualization of Wikibon's exclusive market forecast including a break-down by product and solution categories.




Data Footprints by Generations

Consumers generate over 3/4 of all data and therefore are a major contributor to the information explosion. This infographic compares the data footprint created through digital usage by Boomer, Gen-X and Millennial generations. The accompanying blog post discusses the underlying infrastructure architectural changes that are required to cope and take advantage of this massive volume of data.


Taming Big Data

Big Data can be a beast. Data volumes are growing exponentially. The types of data being created are likewise proliferating. And the speed at which data is being created – and the need to analyze it in near real-time to derive value from it – is increasing with each passing hour. But it is possible to tame the Big Data Beast, as evident in this infographic from The Wikibon Project. It includes real-world use cases and practitioner success stories.


Data Science & The Role of the Data Scientist

While the concept of data science has been around for decades, the notion of a data scientist has become an in-demand career leading to a rise of a new generation of data scientists. Social media platforms such as Facebook depend on data science to create innovative, interactive features that encourage users to get interested and stay that way. Increasingly, more traditional firms in a variety of industries are realizing the need to find, hire and retain the new rock stars of the business world. Here is a visual walk-through of this concept and the role of the data scientist.


The Rapid Growth in Unstructured Data

What’s critical to realize is that 35% more digital information is created today than the capacity exists to store it; and this number will jump to over 60% over the next several years. Most of these gigabytes of data will pass through the servers, network, or routers of an enterprise, which becomes responsible at that moment for managing that content, protecting user privacy, watching over account information, and protecting copyright.



Additional Big Data Resources


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