Spark is a hot topic right now. So hot, in fact, it's surpassed Hadoop as the open source technology with the most widespread appeal. Whether it can sustain this momentum is another matter.
- By Steve Swoyer
- August 22, 2016
Spark boasts a lot of processing power but still lacks maturity. There are difficulties in keeping it running, and its troubles with workload variety make it problematic for production applications.
- By Jake Dolezal
- August 19, 2016
Microsoft's new Power BI Embedded service gets at a significant issue for data management professionals: anemic BI uptake, what we could call BI disuse.
- By Steve Swoyer
- August 17, 2016
Gartner's Merv Adrian dropped a bombshell last month, predicting that Hadoop as we know it may soon cease to exist.
- By Steve Swoyer
- August 15, 2016
Quantum computing is still more theory than practice, but it might answer questions that are unsolvable by current computers. Earlier this year, IBM made a small quantum computer available via the cloud.
- By Lindsay Stares
- August 12, 2016
How do NoSQL databases distribute data in order to provide low-cost elastic scalability?
- By William McKnight
- August 9, 2016
It's cheaper than ever to host data processing workloads on IBM's zSeries mainframes. Now Rocket Software is touting the hitherto unthinkable: data virtualization for big iron.
- By Steve Swoyer
- August 8, 2016
A new survey basically confirms it: we're in the midst of a renaissance in which machine learning technologies are both widely available and increasingly easy to use.
- By Steve Swoyer
- August 4, 2016