Posts Tagged Infographics
It isn’t the zombie apocalypse, but for too long, IT administrators have been shackled to infrastructure that was as friendly and stable as the stumbling undead. The coordination between application, infrastructure and physical data center was poor, leading to over 70% of resources being spent on adjusting configurations and trying to keep the lights on. Hyperscale cloud providers were built for scalability from day 1, so they had to be able to manage orders of magnitude more gear with a smaller IT staff. While cloud providers can customize new applications, enterprise users are burdened with a portfolio of legacy applications. The transformation to a scalable, agile and fast methodology isn’t simple, there are lessons and technologies that the enterprise can learn from the largest IT shops.
The benefits of Big Data are often spoken of in the future tense. As in, “Big Data will someday provide enterprises of all types critical insights that allow for increased profitability, improved efficiency and other untold riches.”
Same goes for the technology. Hadoop, some say, will be the foundation of data storage and analytics in the enterprise once it’s proven enterprise-ready.
The reality, however, is that Big Data is today – here and now – delivering on its many promises. We at Wikibon have been documenting Big Data in the Real World for the last two years, including publishing a series of vertical-specific research notes highlighting how enterprises in retail, banking, media, utilities and pharma are leveraging Big Data analytics to drive performance.
Our friends at Forbes.com have put together a fantastic new infographic leveraging data from Wikibon’s Big Data Vendor Revenue and Market Forecast, 2012 – 2017 report. It provides a compelling view of the Big Data universe and illustrates the real revenue vendors are deriving from Big Data. They range from the mega-planets (if you’ll go with me on this analogy) IBM, HP and EMC to the smaller but powerful emerging planets like Hortonworks, 10gen and DataStax.
Ok, not the greatest analogy but still a great infographic:
As data is continuously collected and created, companies have difficulty just storing it, missing any opportunity to leverage the information. The wave of big data has the potential to flip the burden of data management into the opportunity of new value creation. Yesterday’s solutions don’t accomplish this today and will be even less effective tomorrow.
While the volume of data has grown exponentially over the last few decades, the fundamental and underlying technology on which we store data hasn’t. Sure, we’ve had improvements in densities (to store more data) and connectivity (to provide better access to data), but the pace of data growth has overwhelmed the benefits of these technological advancements.
Next week theCUBE is back in action, this time covering two Big Data conferences in one. Strata Conference + Hadoop World on theCUBE kicks off live Wednesday (10/24) morning at 10 am ET on SiliconANGLE.tv. We’re broadcasting all day Wednesday and all day Thursday (10/25) from New York City with virtually non-stop live interviews with the smartest nodes at the conference.
We’ve identified the most compelling news and trends that will be developing at the show and programed our coverage to flesh them out in great detail. Among other trending topics, you’ll get full coverage and analysis of the emerging Big Data application development market, the state of real-time analytics in Hadoop environments, and new ecosystem partnerships, as well as some great advice for Big Data practitioners from Big Data practitioners.
The mobile transformation is at the intersection of every large IT trend including cloud, big data and application modernization. Think about the major changes IT will face over the next five to ten years.
As more people become comfortable with technology, new strains will be placed on the IT group, which will have to adapt to meet evolving business demands. Tablets and smart phones will continue to be white-hot technologies that spans between the consumer and business worlds.
CIOs needs to tackle issues such as BYOD and the consumerization of IT so they can build a stronger partnership with the workforce in order to tackle future transformational projects.
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 Big Data can be tamed. We’ve got living proof. Thanks to new approaches for processing, storing and analyzing massive volumes of multi-structured data – such as Hadoop and MPP analytic databases — enterprises of all types are uncovering new and valuable insights from Big Data everyday.
Leading the way are Web giants like Facebook, LinkedIn and Amazon. Following close behind are early adopters in financial services, healthcare and media. And now it’s your turn. From marketing campaign analysis and social graph analysis to network monitoring, fraud detection and risk modeling, there’s unquestionably a Big Data use case out there with your company’s name on it.
Hacktivism was intended to refer to the development and use of technology to foster human rights and the open exchange of information (via Wired). Hacktivism could also be defined as “the nonviolent use of legal and/or illegal digital tools in pursuit of political ends.”
The tools used in Hacktivism include web site defacement, redirects, denial-of-service attacks, information theft, web site parodies, virtual sit-ins, typo-squatting, and virtual sabotage.
The team at SiliconANGLE and Wikibon have been following and reporting on the rise of several significant hacktivist groups over the past year plus. Here is a visual representation of the most recent Hacktivist Timeline, with links and additional references below.
CIOs today have a top operational and strategic priority (not technology priority) to support the mission of the business through the application of technology. While they are under pressure to reduce costs, CIOs must deliver agility and efficiency to the organization. The CIO is also VERY concerned about risk. CIOs don’t want to disrupt what’s working while chasing new opportunities. Think of the CIO as managing a portfolio of applications, technologies, people and processes. The technology portfolio is allocated to initiatives that are designed to 1) Run the business 2) Grow the business and 3) Transform the business. Like a good portfolio manager, the CIO must balance risk and reward by allocating resources in a balanced manner. The degree of risk is a function of the objectives of the board of directors and the strategic plan and operating plans of the companies.
Flash is a hot topic. Not Adobe Flash, which can’t be used on Apple iPods or iPads, but Flash memory that provides the storage capacity used inside those same gadgets. While Flash memory is not a new technology, disk has dominated the enterprise space for many years. Flash’s capabilities were well suited for mobile devices and thanks to increased capacities and lower prices derived from high volumes in consumer usage, flash is back in the enterprise and new emerging cloud environments. Wikibon has been closely following this technology for many years and has a large body of research that is freely available for all to read and contribute to.