Waterline Data, The Smart Data Catalog Company, continues to clear the hurdles impeding Hadoop adoption in the enterprise by announcing the immediate availability of Smart Data Catalog 3.0.
In this special guest feature, Carole Gunst, Marketing Director at Attunity, offers four best practices for setting up your data lake in Hadoop.
In the presentation below, Weide Zhang is a Senior Architect at Baidu, talks about his team’s work in using Spark to drive deep learning training and prediction using Paddle, the deep learning library developed by Baidu IDL.
Hortonworks, Inc. ® (NASDAQ: HDP), a leading innovator of open and connected data platforms, announced the next generation of Hortonworks DataFlow (HDF™) version 2.0 for enterprise productivity and streaming analytics.
While at Hadoop Summit 2016, I had the opportunity to catch up with Matthew Morgan, Vice President, Product and Alliance Marketing at Hortonworks, to discuss all the progress the company has made in the past year.
From the recent Spark Summit 2016 in San Francisco, the video presentation below by Joseph K. Bradley of Databricks give focus to “Apache Spark MLlib 2.0 Preview: Data Science and Production.”
In this special guest feature, Mike Hoskins, CTO at Actian, offers some hard won tips for how to avoid the immaturity “cost iceberg” that hampers Hadoop adoption today.
Cloudera, the global provider of the data management and analytics platform built on Apache Hadoop and the latest open source technologies, and Centrify, a leader in securing enterprise identities, announced that Centrify has joined the Open Network Insight (ONI) project.
The presentation below from Hadoop Summit 2016 shares how Macy’s successfully made BI work on Hadoop. You’ll see how the company kept the top spot as the largest US department store by innovating with interactive, self-service Business Intelligence directly on Hadoop.
In this special guest feature, Tom Lyon, Chief Scientist at DriveScale, describes how to run demanding analytics applications and/or 1000+ node Hadoop workloads on commodity servers and storage.