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
The Wikibon community is not the only organization interested in Big Data. Several other companies and publishers are getting into the discussion and visualization (infographics) is a powerful way to present the impact and significance of Big Data.
Here is our “Big List” of the Big Data infographics that have been created in recent months (including ours front and center). Let us know your feedback and what if we’re missing anything (click each infographic thumbnail for the original blog posts).
Wikibon is a professional community solving technology and business problems through an open source sharing of free advisory knowledge. According to newly released data from IDC, overall worldwide revenue for servers decreased by 4% in Q3 2012. Over the last decade, as server virtualization adoption has increased, we have seen a steady decline in the revenue and number of servers. Some bright spots of growth for server revenue are in the blade server and hyper-scale or "density optimized" servers. As discussed in Wikibon's Software-led infrastructure manifesto, converged infrastructure (which typically uses blade servers) and low-
Wikibon is a professional community solving technology and business problems through an open source sharing of free advisory knowledge.
I’ve been at TechEd 2012 since Sunday and, from the very beginning, the trends couldn’t have been more in focus. The future for Microsoft is about virtualization, cloud and mobility… and Metro. Everywhere I go at the conference, I see Metro. All of the company’s new products seem to be taking on the Metro interface elements and even the signs and other materials mimic the interface.
That’s the small stuff, though.
Flash memory is taking the data center world by storm and creating disruptive opportunities to challenge the status quo, overcoming the capacity challenges of RAM and the performance challenges of hard disks to enable innovative new architectures.
This article discusses several different real-world use cases for SQL Server, MySQL web scale, and performance scale up within a turnkey appliance.
When flash is placed within the server, as close to the CPU as possible (i.e. natively on the PCI Express bus), the mediaâs microsecond latencies enables
Does society really want extremely private mobile devices if they make life easier for criminals? Apple's newly toughened standards sharpen the focus on that question.
Less than a month after Apple first shipped the iPhone in June 2007, a group called Independent Security Evaluators documented deep security design flaws in the device. Apple's most embarrassing flub: every iPhone application that Apple had written ran with so-called root privileges, giving each one complete control over the entire phone. Hackers found
This past week, I had a parking lot discussion with a client about the rich wealth of dimensional data that âbig dataâ can provide.Â Big data is expanding both traditional dimensions â such as products, customers, stores, markets, and suppliers â with new dimensional attributes and itâs creating new dimensions â such as websites, search keywords, display ads, social sites, meters, and sensors.Â Organizations are looking to exploit these new dimensions to
What with everyone else jumping on the Hadoop bandwagon at Strata this week, Intel clearly doesn’t want to be left out. But instead of simply joining the club, the chip maker seems to have stolen the show altogether, announcing its own Apache Hadoop distribution this morning at an invitation only event.Intel said that it plans to offer its very own flavor of Hadoop, the hugely popular open-source Big Data software that allows applications to be run on large clusters of servers.“We’re in an era of generating huge amounts of data, but the key point is not what we get out of it” explained Boyd Davis, VP of Intel’s Architecture Group.Rather, Boyd
If you’ve been unable to keep up with all the competing NoSQL databases that have hit the market over the last several years, you’re not alone. To name just a few, there’s HBase, Cassandra, MongoDB, Riak, CouchDB, Redis, and Neo4J.
To that list you can add Accumulo, an open source database originally developed at the National Security Agency. You may be wondering why the world needs yet another database to handle large volumes of multi-structured data. The answer is, of course, that no one of these NoSQL databases has yet checked all the feature/functionality boxes that most enterprises require before deploying a new technology.
Few open-source tools have enjoyed the meteoric popularity of Hadoop in building these next-generation big data analytics platforms. Even in its rawest distro form, it's eminently flexible, scalable and very cost-effective. As a result, Hadoop has quickly become the new de-facto standard for anyone doing anything in big data analytics computing.We believe that HDFS (the underlying data abstraction beneath Hadoop) will play a key role as the future "data substrate" for next-generation data infrastructure. The familiar relational database that's powered data-based processing for the last few decades will likely be subsumed around newer capabilities
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