Archive for category Wikibon
Amazon has turned the data center into an API and that has created a dramatic shift in the enterprise. The Internet giants – we sometimes refer to them as the hyperscale crowd (e.g. Amazon, Google, Microsoft, Apple, Facebook, etc.) – are paving the way for the next generation data center. This brings several challenges to IT organizations including pressure from the corner office to replicate the speed, agility and efficiency of these innovators. The problem is, most IT organizations don’t have the engineering capacity of a Google. IT organizations will spend money (with a vendor) to save on management costs (i.e. they’ll buy a more expensive solution that is easier to manage). Internet giants on the other hand will spend time (engineering time) to save money. It’s a very different mindset.
theCUBE’s next stop is the Hilton Santa Clara for #BigDataSV. The show takes place February 11-13, 2014 and you can catch all the action live at SiliconANGLE.tv. We’ll have analysis of all the news breaking at Strata Conference, as well as in-depth conversations with leading Big Data and Data Science thought-leaders.
In addition to the broadcast, we’re also throwing a little soiree the evening of February 12 at the Hilton. If you’re attending Strata, please joins us between 6pm-8pm PST in the Coastal Room for some drinks and hors d’oeuvres and socializing. RSVP here.
I’ve already laid out my predictions for Big Data in 2014, but I also wanted to let the Wikibon community know how my colleagues and I plan to cover Big Data in the year ahead. We’ve organized our research agenda into three major buckets.
Technology. Clearly the technologies and products that collectively make up Big Data – including Hadoop, NoSQL data stores, analytic databases, data visualization tools and more – are maturing at a rapid pace (much faster, for example, than relational databases did in the 1980s.) Big Data is also applicable across industries, meaning these technologies are inevitably and increasingly intersecting with adjacent technology movements, namely the cloud, mobile computing and social media. As we have for the last several years, Wikibon will devote significant coverage to these developments with an eye on putting technology innovations in context for enterprise Big Data practitioners (both technology practitioners and line-of-business practitioners.)
See videos and articles from Big Data NYC 2013 event.
It’s an exciting week for us here at SiliconANGLE Wikibon. Today we are kicking off our #BigDataNYC event on #theCUBE live from New York City. We will be covering all the Big Data-related action taking place in the city this week, including the goings on at the Strata + Hadoop World conference and other events.
Once again the Wikibon team is gearing up for our annual trek to Oracle OpenWorld. As usual we’ll be there with SiliconANGLE’s theCUBE. We’ve watched Oracle evolve into an integrated solutions company and the firm’s recent storage announcement highlights Oracle’s strategy to take out operational costs by tightly integrating hardware and software.
In 2010 Wikibon wrote a piece, which put forth the premise that independent software vendors, and particularly Oracle and Microsoft, were intent on bundling more storage function into application stacks to drive down costs. In that post we said:
VMworld: VMware’s user conference is now in its 10th year. Due to a robust ecosystem and passionate community, this is THE show for virtualization and one of the top events for cloud. VMware has maintained dominance in the server virtualization market, but there are a lot of questions coming into the show. For the fourth year, theCUBE will be broadcasting live video throughout the show to provide in-depth independent analysis and coverage of all of the angles of the show.
While VMware is still dominant in the x86 server virtualization market, there are clear signs that the hypervisor is being commoditized and that competing solutions are closing the functionality gap. Over half of respondents to Wikibon’s survey last year were running multiple hypervisors. Wikibon is digging deeper into customer adoption including both multi-hypervisor environments and what is driving customers to specific solutions.
Share with your peers and as always, Wikibon will be sharing the results freely (see related material at Wikibon.org/VMware). Everyone who takes the survey will also be eligible to win an iPad mini. Wikibon will provide guidance on the following:
There’s an old saying in the data management world: garbage in, garbage out, or GIGO. It means that the results of any data analysis project are only as good as the quality of the data being analyzed. Data quality is of critical importance when data sets are relatively small and structured. If you only have a small sample of data on which to perform your analysis, it better be good data. Otherwise, the resulting insights aren’t insights at all.
Three and a half years after Oracle’s acquisition of Sun, experts continue to debate whether the move was a good one for the world’s largest database company. Adding to the controversy, evidence surfaced last year from HP’s lawsuit against Oracle that certain Oracle sales execs viewed Sun’s hardware business as a “dog,” a claim with which Larry Ellison has said he disagreed. Nonetheless, those on the negative side of the table pinpoint Oracle’s shrinking hardware business, which has seen dramatic declines since the acquisition. Indeed, over the past twelve months, Oracle’s hardware revenue was off 13% in constant currency to $5.4B. Despite Larry’s point of view, this decline in my opinion is precisely because much of Sun’s hardware business was a dog—particularly it’s low-end server and much of its disk storage business.
The show is a mix of both technical and business-centered Hadoop content. There will be a number of major focuses. One such focus is YARN. As I wrote on SiliconANGLE earlier today:
YARN is as a true Hadoop resource manager, allowing multiple applications – MapReduce, SQL, streaming analysis, etc. – to run on a single cluster of machines simultaneously while maintaining high performance levels. With YARN Hadoop is a true multi-application platform that can serve an entire enterprise.