<p>PALO ALTO, CA - Continuuity, creator of Continuuity Reactor, the industry's first scale-out application server for Apache Hadoop, today announced the addition of batch processing to their Big Data application platform. The latest Developer Suite release (version 1.7) will integrate MapReduce into the platform and allow developers to run real-time and batch workloads on a single cluster over shared datasets.</p><p>The capability will be available in the next update of Continuuity Developer Suite, slated for release in July.</p><p>The Developer Suite update will also include an expanded set of example applications. These new templates accelerate application development by providing developers with end-to-end implementations of common Big Data applications: streaming real-time analytics (OLAP), targeting and personalization, and anomaly detection.</p><p>"Providing Java developers with the ability to easily build and run batch and real-time workloads on a single Hadoop cluster with a unified API opens up possibilities for building a new class of applications. Instead of being limited to traditional batch workloads, developers can add real-time streaming capabilities to have the most current data reflected in their apps," said Jonathan Gray, CEO and co-founder of Continuuity. "Additionally, with the availability of new application templates, developers will be able to quickly grasp the concepts of application development."</p><p><a href="http://broadwayworld.com/article/Continuuity-Developer-Suite-Real-Time-Meets-Batch-Processing-20130625">Keep reading...</a></p>