Tag Archives: Hadoop

Disruption: It’s All About the Business Model

This post is an excerpt adapted from my book, Disruptive Analytics, available soon from Apress and Amazon. (Note: under my contract with Apress I am legally obligated to link to their site, but it’s not yet possible to order the book there. Use the Amazon link if you want the book.) The analytics business is booming. Technology consultant IDC estimates total

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Big Analytics Roundup (August 24, 2015)

Lots of Mesos news this week (thanks to MesosCon in Seattle), including reports that Microsoft wants to acquire Mesosphere. Rashid Jamal surveys the battle space for the next generation big data analysis framework.  Good overview of how some of the top projects and vendors are positioning themselves. On LinkedIn, Bernard Marr reports on the “top ten” Hadoop distributions, including Cloudera,

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Big Analytics Roundup (May 25, 2015)

This week features new releases from Drill and Hive, plus announcements from DataStax and MemSQL. Andrew Brust summarizes the SQL options presented by Drill, Hive and Spark, noting that Drill’s “SQL everywhere” approach and DBMS vendors’ federated engines make the term “SQL on Hadoop” obsolete. Gartner surveys its panel of 284 people who rely on Gartner and concludes that Hadoop

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Spark is Too Big to Fail

Reacting to growing interest in Apache Spark, there is a developing contrarian meme: David Ramel asks: are Spark and Hadoop friends or foes? Jack Vaughan compares Spark to the PDP-11, dismisses it as “just processing.” Doug Henschen praises Spark, pans Databricks Nicole Laskowski complains that Spark Summit East “felt like a Databricks show.” Andrew Oliver thinks Spark needs to grow up Andrew

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Big Analytics Roundup (April 6, 2015)

Late posting today due to holiday travel. In the week following Spark Summit East, a number of Spark skeptics surfaced, a sign that people take Spark seriously. The top item of the week, though, is Tiernan Ray’s interview with Michael Stonebraker in Barrons, a must-read. Analytic Software Forrester published its latest “wave” for Big Data Predictive Analytics Solutions, an inaptly

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