Big data analytics -- and its seemingly enormous infrastructure requirements -- hits an IBM System z sweet spot.
Major disruptive factors reshaping how we view and use data include the volume, variety, and velocity of big data, along with social computing, more pervasive BI, and advanced analytics, says Vitria CTO Dale Skeen.
- By Linda L. Briggs
- May 7, 2013
At TDWI's World Conference in Chicago, Ken Rudin, director of analytics for Facebook, surprised many attendees when he revealed that Facebook has built itself a conventional data warehouse.
- By Stephen Swoyer
- May 6, 2013
We explore several fundamental changes driven by big data analytics.
- By Fern Halper, Ph.D.
- April 30, 2013
Because big data is fast-paced and unpredictable, operational intelligence outstrips the capabilities of traditional BI or DW tools, argues Vitria CTO Dale Skeen.
- By Stephen Swoyer
- April 30, 2013
The combination will offer end-to-end big data solutions built from the ground up, says a company spokesperson. We look at what’s ahead post-acquisition.
Recent advances in analytic technology have provided us with the horsepower necessary to harvest much more big data.
- By Mike Schiff
- April 23, 2013
Today, comparatively few enterprises are using HDFS, the distributed storage substrate of the Hadoop framework. That's quickly changing.
- By Stephen Swoyer
- April 23, 2013
With big data everywhere, a skills shortage of workers with the necessary knowledge to work with it looms.
- By Linda L. Briggs
- April 23, 2013