Visibility is the aim of analytics; the ability to provide insight into operations. Analytics are instrumental in creating measures. Reporting on financial performance, marketing campaigns, customer experiences and more; data driven organizations have a competitive advantage. Ultimately, insight into operations leads to faster and better-informed decisions, increased revenues and savings.
Big Data Deployment in the Cloud
Pentaho supports native integration with Amazon Elastic MapReduce. Providing visual data orchestration for the EMR Hadoop framework, MapReduce jobs can be quickly developed and run in-cluster for high performance, allowing IT teams to deploy faster. Leveraging EMR with the Amazon Redshift analytic database and S3 storage, users can visually orchestrate on-demand, secure analytic data sets. Read more about cloud-based Big Data architectures.
Scale Hadoop in a Big Data Environment
With the launch of Pentaho 5.4, Pentaho releases the results of a recent scalability study demonstrating the performance of Pentaho MapReduce and Hadoop on rapidly increasing data volumes. These tests show sustained data processing performance at scale when running Pentaho MapReduce jobs in large Hadoop clusters. Read the study.
Blended Data Delivered for SAP HANA
Pentaho’s integration with SAP HANA, a powerful in-memory analytic database, delivers blended, refined data for high-speed analytics. Together, Pentaho Data Integration and SAP HANA facilitate governed data delivery across multiple structured and unstructured sources in enterprise environments.
Big Data Innovation with Spark
Pentaho delivers integration with Spark, a next-generation in-memory data engine for large scale processing. Data developers can now execute Spark jobs from Pentaho Data Integration raising developer productivity and reducing the skillset required to leverage Spark. To learn more about other Spark projects, visit Pentaho Labs.