Roundup: A big month for big data
This October isn't just busy with Presidential politics; it’s high season for the Big Data news cycle as well.
Veteran data geek Andrew Brust covers Big Data technologies including Hadoop, NoSQL, Data Warehousing, BI and Predictive Analytics.
Andrew J. Brust has worked in the software industry for 25 years as a developer, consultant, entrepreneur and CTO, specializing in application development, databases and business intelligence technology.
This October isn't just busy with Presidential politics; it’s high season for the Big Data news cycle as well.
Last week, ZDNet Editor-in-Chief Larry Dignan and I debated the enterprise-readiness of Big Data. I believe such readiness is still a ways off, for a variety of reasons. I reiterate my debate points in essay form here.
Industry consortium TechAmerica Foundation delivers its report on what government is doing with Big Data, and what it should do going forward.
At a panel discussion in Manhattan, we learn that BI, Hadoop, NoSQL and Data Analytics companies look at the same issues and technologies, sometimes through very different lenses.
Today's a big day for Big Data partnerships. Cloudera-Syncsort, Cisco-Pentaho and Connotate-CrowdSource are all announcing link-ups today.
The new release of independent Enterprise BI veteran MicroStrategy targets end users; integrates with Hadoop, HANA and R; wins customers over to its cloud and updates its iOS app to work with iPhone 5's 16:9 display.
I got a tour of IBM's Operations Center at the US Open this week, and I took a few pictures. Check out the infrastructure underlying delivery of all scores, stats and analytics at America's Grand Slam tennis event.
It's US Open season, and the analytics are going wild (not to mention the fans). Here's an inside look at how IBM and the USTA are bringing the data to you, in your Web browser, and on your device.
Enterprise software company Quest enters the Big Data space, and does it the Enterprise way. Future parent Dell must be proud.
Three surveys on Big Data -- and a CMO study that covered it -- tell us a lot about what people want to do with big data, and what they've implemented so far.