Bringing the Power of Cluster-Scale Computing To Production Processes

Hadoop has revolutionized companies’ ability to work with large datasets. However, implementing real-world applications can require writing and managing dozens of MapReduce jobs. The founders of Concurrent have developed Cascading, an open source abstraction for MapReduce that allows applications to work with Hadoop through a straightforward Java API. Cascading provides finer-grained ways to define applications and glue them together, as well as abstractions to work with external systems.
Learn more about the Cascading project ›

Concurrent develops applications to help enterprises realize the benefits of parallel computing clusters, and provides licensing and support for Cascading. Learn more ›

News & Events

  • Oct. 09, 2009 — Cascading now has support for HBase and the JDBC API. Learn more ›
  • Jun. 06, 2009 — Cloud Computing - From Getting Started and Tools, to Large Scale Architecture Design Learn more ›
  • May. 27, 2009 — SAM SIG: Hadoop architecture, MapReduce patterns, and best practices w/Cascading Learn more ›
  • May. 19, 2009 — Cloud Computing Paradigms: MapReduce, Hadoop, Cascading Learn more ›
Cascading

Cascading is software for fault tolerant data processing. Learn more ›

support

Concurrent provides licensing, indemnification, and support for Cascading. Learn more ›

training

For advanced Hadoop and Cascading training, visit our partner, Scale Unlimited ›