- April 20, 2017
Corporate users are becoming more open to deploying big data systems with Apache Spark in the cloud, Databricks CEO Ali Ghodsi says in a Q&A on the open source processing platform.
- April 14, 2017
Software containers encapsulate complexity and ease deployment, two traits that are helping to elicit growing interest in using them as part of big data systems.
- March 31, 2017
Fitness company Beachbody set up a data lake system in the AWS cloud to support big data analytics applications after deciding that an on-premises deployment would be too complicated.
- March 08, 2017
Application profiling software from Pepperdata is built on LinkedIn's Dr. Elephant open source entry. A primary goal is to get more Hadoop and Spark applications into production.
- February 21, 2017
Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service.
- February 16, 2017
Spark Streaming architecture to date has focused much on programming perks. Now, as a bit of a hedge against other streaming choices, Drizzle comes to bat to cut streaming latency.
- December 02, 2016
Amazon's Athena data engine brings interactive SQL queries to S3 data sets and lets users pay as they go. It's based on an open source framework called Presto that Teradata and others also employ.
- November 30, 2016
The Louisiana Department of Health responded to flooding with the help of GIS software that located trouble spots with at-risk hospitals. Ease of use was welcome, according to a preparedness manager.
- October 28, 2016
Big data is moving from its bare-metal roots, and data streaming is a driver. Containers and microservices may have a role to play in what's next. An e-commerce application shows the way.
- October 06, 2016
What's in your toolbox? October's issue of Business Information turns the tables and puts that burning question to Capital One and several other business intelligence and data analytics software users. As the burgeoning worlds of ...
- September 30, 2016
Users increasingly are eyeing the cloud for big data management and analytics applications, and IT vendors are moving to ease the process -- and the price -- of running Hadoop in the cloud.
- September 15, 2016
HPE is paring down its software holdings, including analytical database software in the Vertica line and other big data tools. A sale to Micro Focus is due to close next year, leaving users in some limbo for now.
- August 31, 2016
Vertica 8.0 expands the analytical database's support for Kafka, Spark and Hadoop. That's an important step, as the Hewlett Packard Enterprise technology tries to compete in a field of diverse data tools.
- July 06, 2016
Hadoop management is becoming a bigger priority for big data users and vendors alike as the distributed processing framework plays a more central role in the business operations of organizations.
- June 09, 2016
Spark 2.0, with structured streaming and SQL 2003 support, is aborning as indicated at Databricks' Spark Summit, where R-to-Spark interfaces also popped up.