- 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.
- June 03, 2016
Startup vendor Confluent is looking to place a stake in the big data ecosystem with Kafka streaming and management tools meant to reduce complexity in applications that place data in motion.
- April 29, 2016
Open source data engineering has become a way of life at e-commerce leader eBay, says the company's Debashis Saha. Kylin is one of the tools that has resulted.
- April 22, 2016
A new view on hybrid data architectures, in which data lakes and warehouses coexist, emerged at EDW 2016. The hybrid approach has implications for data design, skills and planning.
- April 19, 2016
Running a Hadoop cluster in the data center isn't for the weak. But several new tools aim to give IT operations teams a closer look into what's going on inside Hadoop-based big data systems.
- April 13, 2016
Pivotal Software dropped out of the Hadoop distribution business in favor of reselling the Hortonworks version of the big data framework -- and the market consolidation moves may not be over.
- April 01, 2016
Moving streams of data is a must in many modern applications. As a result, streaming analytics systems with Spark Streaming, Kafka and other components are coming to the big data forefront.
- March 31, 2016
At Strata + Hadoop World 2016, Hadoop co-creator Doug Cutting said the core of the distributed processing framework is likely to see its position at the center of big data systems diminish.
- March 24, 2016
The Strata + Hadoop World conference focuses on big data management and analytics technologies, in particular the Hadoop distributed processing framework and Spark processing engine.
- March 02, 2016
Looking to better balance system stability and innovation, Hadoop distribution provider Hortonworks will follow two release 'cadences' for different component sets in its HDP package.
- February 29, 2016
Its collection of big-data processing features is priming the Apache Spark architecture for wider deployment. One key trait: Spark performance outpaces MapReduce in many Hadoop use cases.