Pentaho Corporation, the commercial open source alternative for business intelligence (BI), recently announced Pentaho Data Integration 3.2, a
new release of Pentaho's extract, transform and load (ETL) tool with enhancements for cloud- and cluster-based ETL.
Pentaho Data Integration is already in production on the Amazon cloud supporting cloud-based data warehouses, and provides important cloud ETL features like data compression to minimize data transfer
costs, and dynamic parallelism to support elastic, multi-server ETL configurations.
With Pentaho Data Integration 3.2, secondary ETL servers can now dynamically register with the master server, so that administrators can run any data integration job on an arbitrary number of
cloud-based servers without manually configuring the connection to each cloud-based secondary server. This saves time and simplifies cloud ETL deployment for administrators.
“We're combining cloud computing and commercial open source to give customers an option that completely transforms the economics of data integration and ETL," said Richard Daley, CEO of
Pentaho. "More and more of our customers and partners are incorporating cloud computing into their data warehousing strategies to scale up while reducing costs, and only Pentaho can deliver the same
scalability without the high price of the traditional proprietary ETL offerings."
To read the full press release, click here.
This BeyeNETWORK news item contains information from a recent press release by the company mentioned.
SOURCE: Pentaho Delivers Pentaho Data Integration 3.2 with Enhancements for Cloud and Cluster-Based ETL