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When customers look to deploy their Hadoop solutions, one of the first questions they ask is, which distro should we run it on? For many enterprise customers, the answer has been MapR. For those of you not familiar with MapR, they offer an enterprise-grade Hadoop software solution that provides customers with a robust set of tools for running Big Data workloads. A few months ago, Cisco announced the release of Tidal Enterprise Scheduler (TES) 6.1 and with it integrations for Hadoop software distributions, such as Cloudera and MapR, as well as adapters to support Sqoop, Data Mover (HDFS), Hive, and MapReduce jobs. All performed through the same TES interface as their other enterprise workloads.

Today, I’m pleased to announce that with the upcoming 6.1.1 release of Cisco’s Tidal Enterprise Scheduler, Cisco’s MapR integration will deepen further. Leveraging Big Data for competitive advantage and rises in innovative product offerings are changing the storage, management, and analysis of an enterprise’s most critical asset -- data. The difficulty of managing Hadoop clusters will continue to grow and enterprises need solutions like Hadoop to enable the processing of large amounts of data. Cisco Tidal Enterprise Scheduler enables more efficient management of those environment because it is an intelligent solution for integrating Big Data jobs into an existing data center infrastructure. TES has adapters for a range of enterprise applications including: SAP, Informatica, Oracle, PeopleSoft, MSSQL, JDEdwards, and many others.

Stay tuned for additional blog posts on Cisco’s Tidal Enterprise Scheduler version 6.

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