Pentaho prides itself on being data challenge agnostic when it comes to the technologies and data sources customers can leverage to achieve analytic business outcomes. Doing this means customers are freed from the hindrances of data and continue to increase analytics insight as they drive towards strategic initiatives.
Recently, Pentaho delivered Pentaho Business Analytics 7.1. The team has been working extremely hard on this release and in our eyes, it is much more than just a ‘dot’ release. Highlights of this release include: adaptive execution on any engine for big data processing, starting with Spark; expanded cloud integration with Microsoft Azure; enterprise-level security for Hortonworks, and improved ...
It’s been several years since the term “Data Lake” was coined by my friend and Pentaho co-founder James Dixon. The idea continues to be a hot topic and a challenge to execute properly. The problem is that too many people think all they need to do is dump data into Hadoop. But what happens when you merely dump your data? You get what you asked for— a dump.
Recently Pentaho announced the release of Pentaho 7.1. Don’t let the point release numbering make you think this is a small release. This is one of the most significant releases of Pentaho Data Integration! With the introduction of the Adaptive Execution Layer (AEL) and Spark, this release leapfrogs the competition for Spark application development!