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
Data management must achieve speed and scale, to support new data types and business requirements.
- By Philip Russom, Ph.D.
- April 16, 2013
Never mind Java programmers or data scientists, there's an acute need for IT technologists with Hadoop management skills.
- By Stephen Swoyer
- April 16, 2013