HPE plus MapR: Too much Hadoop, not enough cloud
Cloud killed the fortunes of the Hadoop trinity - Cloudera, Hortonworks and MapR - and that same cloud likely won’t rain success down on HPE.
Cloud killed the fortunes of the Hadoop trinity - Cloudera, Hortonworks and MapR - and that same cloud likely won’t rain success down on HPE.
Calling Apache Spark "the most important new open source project in a decade that is being defined by data," IBM today announced that it will embed the compute engine into its analytics and commerce platforms and offer Spark as a service on IBM Bluemix.
After about a year-and-a-half of development, big data application platform specialist Concurrent today released a new version of the open source Cascading big data application framework.
With a focus on real-time applications, MapR Technologies took the wraps off the 5.0 version of its Hadoop distribution.
On the heels of Hitachi Data Systems (HDS) closing on its acquisition of data integration specialist Pentaho last week, Pentaho today released an update to its platform that adds integration for Amazon Elastic MapReduce (EMR) and SAP HANA.
In just a few short years, big data technologies have gone from the realm of hype to one of the core disruptors of the new digital age. 2014 saw big data initiatives inside the enterprise increasingly move from test to production. In 2015, big data will push further into the enterprise with even more use cases -- specifically real-time use cases -- says John Schroeder, CEO and co-founder of Hadoop distribution specialist MapR.
MapR's latest Hadoop distribution includes support for Hadoop 2.2 with YARN, but is also backward compatible with the MapReduce 1.x scheduler, promising organizations a risk-free upgrade path to the latest Hadoop architecture.
The votes are in for CIO.com's 10 hottest big data startups to watch. Here are the final rankings based on your voting as well as a variety of other criteria such as funding and company leadership.
Traditional BI requires human input to decide what correlated factors to query. As predictive data analytics gets increasingly powerful, the algorithms do the deciding. That spells the end of BI as columnist Bernard Golden knows it - and he doesn't feel fine about it.
Doug Cutting, creator of Hadoop and founder of the Apache Hadoop Project, says big data is not hype and it's not a bubble. He lays out his vision of how Hadoop will become the Holy Grail of big data systems