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Cascading allows apps to execute on all big data fabrics

Thor Olavsrud | May 14, 2014
Organizations are increasingly focusing on building enterprise data applications on top of their Hadoop and NoSQL infrastructure. But even as that's happening, Hadoop itself is becoming much more diverse and complex. That's a potential headache for developers seeking to build applications on top of that data infrastructure, but data application platform specialist Concurrent, primary sponsor of the open source Cascading application framework, sees it as an opportunity.

Concurrent has also forged close strategic partnerships with Hortonworks (one of the primary sponsors of Apache Hadoop) and Databricks (the primary sponsor of Apache Spark). Hortonworks will now integrate the Cascading SDK with its Hortonworks Data Platform (HDP) distribution of Hadoop, and will certify and support the SDK with HDP. Cascading will also support Apache Spark in a future release and notes that companies using Cascading will be able to seamlessly run their applications on Spark.

Concurrent says Cascading 3.0 will be available early this summer and freely licensable under the Apache 2.0 License Agreement.


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