Big Data
From Wikibon
Contents |
Curated Big Data Coverage & Analysis
An archive of big data analysis, coverage, and content marketing news and information from the team at Wikibon and SiliconANGLE.
Big Data is emerging from the realms of data science projects to help companies understand exactly, make decisions, and act in real-time to better serve their customers and target markets. The IT techniques and tools to execute big data processing are new, very important and exciting.
Providing effective business analytics tools and technologies to the enterprise is a top priority of CIOs. Effective business analytics allows organizations to extract insights from corporate data to deliver higher levels of efficiency and profitability to the enterprise. Underlying every business analytics practice is data.
The Big Data market is on the verge of a rapid growth spurt that will see it top the $50 billion mark worldwide within the next five years. The analysis in this article highlights Wikibon’s five-year forecast for the Big Data market as a whole
Wikibon research in defining big data, to differentiate big data projects from traditional data warehousing projects and to look at the technical requirements. This Wikibon article looks at the business case for big data projects and compares them with traditional data warehouse approaches.
Infographics on Big Data from The Wikibon Community
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. Here is a visual walk-through of this concept and the role of the data scientist.
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.
Big Data Video from theCUBE and SiliconANGLE.tv
Companies are starting to differentiate themselves via new and innovative analytics and applications built on top of Hadoop, said Jeff Hammerbacher, Cloudera Co-Founder and Chief Scientist. Hammerbacher also discusses how he coined the term and the role of Data Scientist live inside theCUBE from Hadoop World 2011.
Watch the full video here.
Additional Big Data Analysis
Big Data Blog Posts from the Wikibon Community
- Big Data in 2012: Hadoop, Big Data Apps, Data Science Tools, Cloud Collision and More
- Predictions 2012: Big Data, Flash, Cloud and Facebook
- The Biggest Big Data Stories of 2011
- Navigating the Big Data Vendor Landscape
- Hadoop, Big Data Focus Shifting To Analytics and Visualization
- IBM Outperforms Even Apple: Smarter Planet, Big Data and Cloud Power the Future
- Data, VDI and Virtualization: 2011 IT Roadmaps
- Is Big Data Utopia Near at Hand?
- Ten “Big Data” Realities and What They Mean to You
- Strata Conference: The Big Data Wave is Coming
- Little Data, Big Data, Flash and Cloud Tiering: Predictions 2011
ServicesANGLE Coverage on Big Data
- How Salesforce.com Deals With Big Data
- Why “Science” is an Important Word in the World of Big Data
- Big Data Visualization: Very Cool But Still Very Complex
- How Google, IBM and Yahoo Use Big Data to Predict the Oscar Winners
- Thinking Big About Big Data
- A Perfect Match: When Big Data Met Node.js
- Survey: For Big Data, the Large Enterprise is Turning to Linux
- 5 Big Data Tools Built On Hadoop
- How Should the CIO Develop a Big Data System?
- What is Big Data? 4 Definitions
Additional Links and Resources
Action Item:
Footnotes:
