Pentaho Data Integration provides advanced clustering and partitioning capabilities that allow organizations to scale out their data integration deployments. Pentaho Data Integration clusters are built for increasing performance and throughput of data transformations;in particular they are built to perform classic “divide and conquer” processing of data sets in parallel. Our Pentaho Competency Center is having experienced Pentaho Architects will ensure these deployments seamlessly. Pentaho’s Java-based data integration engine integrates with the MapR Hadoop cache for automatic deployment as a MapReduce task across every data node in a Hadoop cluster, making use of the massively parallel processing and high availability of Hadoop. In quite a few of our Pentaho Architects implement these work around have been successfully deployed, thus making us one of the few experts in the world with some of these capabilities.