- April 29, 2015
Startup JethroData's namesake Version 1.0 software is an index-based, SQL-on-Hadoop engine that forgoes full scans of Hadoop data sources.
- April 27, 2015
Count Paxata among startups set to apply machine learning to problems of big data preparation.
- April 24, 2015
As NoSQL databases become more prevalent in enterprise processing, designing data models for the flexible-schema systems is a looming challenge for data architects and developers.
- March 26, 2015
Cloud applications are no longer curious IT experiments -- now they're often on shortlists of deployment options.
- March 25, 2015
New database updates address large-scale applications. Included are Couchbase Server 4.0 with multidimensional scaling support and VoltDB 5.0 with links to Hadoop data streaming tools.
- March 10, 2015
Machine learning techniques are far from new. What is new, however, is the number of parallelized data processing platforms available for applications of big data.
- March 09, 2015
As companies get a better handle on how to use big data wisely, a new effort on interoperability for Hadoop projects gets a mixed reaction.
- March 02, 2015
Hadoop vendor MapR's latest release puts the focus on database replication across data centers. Also, Microsoft has built a Python-friendly Azure service for machine learning in the cloud.
- February 24, 2015
The Open Data Platform has arrived, but not all Hadoop vendors are on board. The initiative, aimed at boosting interoperability, formed a backdrop for discussion at the Strata + Hadoop World 2015 conference.
- February 20, 2015
Building and running enterprise Hadoop applications takes more than data crunching. First, Hadoop data must be absorbed into company processes, a Western Union IT manager says.