Last month’s update was obsolete before it published. This often happens because of multiple moving parts and my extended gestation period. I needed to correct entries for both AWS and Hortonworks. The new Tracker is correct as far as I know as of January 2, 2018. Enjoy. –more–
Tag Archives: Apache Spark
Symposium Notes – Day Four Returns to Data Security, and to Hadoop
Thursday, the final day, reinforced a theme for the week: data security is heating up, and organizations are not ready. It came up in half of today’s final 10 meetings. “Is my data more secure, or less, in the cloud?” “Does using open source software for data management compromise how well I can protect it?”Continue reading “Symposium Notes – Day Four Returns to Data Security, and to Hadoop”
Symposium Notes – Day Three Features Data Assembly
With 24 meetings under my belt from the first two days at Orlando Symposium, Wednesday’s 13 (and a presentation) didn’t look quite as daunting. It began well, with enough time for a muffin and some tea at 730 AM in the analyst workroom near to the cubicle I’d spend the day in. Then I launched rightContinue reading “Symposium Notes – Day Three Features Data Assembly”
Symposium Notes – Day Two Jumps in the (Data) Lake
My second day of Symposium 1:1 meetings continued the “security of big data” theme (4 of the day’s 15 conversations – usually, but not always, about HDFS-based data), with a data lake flavor. The concerns were retroactive – often driven by an internal audit. “We built it, now how do we secure it?” is aContinue reading “Symposium Notes – Day Two Jumps in the (Data) Lake”
Symposium Notes – Day One Features Hadoop
Gartner Symposium is always exciting, challenging and stimulating for analysts; we get to interact with many organizations in a brief time during 1on1 meetings scheduled based on our coverage. It offers an fascinating snapshot of what is on people’s minds – enough so that they have traveled to a conference in part to have that discussion.Continue reading “Symposium Notes – Day One Features Hadoop”