Cisco Updates Scheduler to Automate Hadoop Big Data Analysis Systems

 
 
By Robert Mullins  |  Posted 2012-10-23 Email Print this article Print
 
 
 
 
 
 
 

Cisco Systems is adding support for the open source Hadoop framework for analyzing big data in its Tidal Enterprise Scheduler version 6.1 software for automating many of the processes in big data analytics.

Cisco Systems has added support for the open source Hadoop big data framework in the latest version of its Tidal Enterprise Scheduler, which is software that automates some of the processes involved in operating a big data analytics system.

Cisco and other vendors made product announcements at a Hadoop conference Oct. 23-25 in New York.

Cisco Tidal Enterprise Scheduler (TES) 6.1 is described as “a building-block infrastructure managed” environment that runs on Cisco’s NX-OS operating system. While it is also optimized to deliver automation in a system running Cisco UCS C-Series servers and Cisco Nexus switches, it can also run on heterogeneous systems, said Wayne Greene, director of product management at Cisco. TES automates analysis of structured and unstructured data.

TES also integrates with enterprise data applications from Business Objects, Informatica, Microsoft, Oracle, SAP and others, as well as with commercial versions of Hadoop from Cloudera and MapR Technologies.

Tidal Software was acquired by Cisco in 2009 for $105 million. The software update was announced at the O’Reilly Strata Conference and Hadoop World 2012 events held simultaneously in New York.

Also at the conference, MapR Technologies introduced MapR M7, an updated big data platform that supports Hadoop as well as NoSQL databases, the latter is an alternative to traditional relational databases.

Dell introduced at Hadoop World 2012 three new software products from its $2.4 billion acquisition of Quest Software, which closed in September. One is called Kitenga Analytics, from a Quest acquisition, which enables non-programmer users to analyze structured, semi-structured and unstructured data stored in Hadoop.

Dell also introduced Toad for Hadoop, which provides query and data management functionality for Hadoop and an interface to perform data transfers. Also new is SharePlex with Hadoop capabilities for the next release of SharePlex for Oracle, a high-performance application for Oracle-to-Oracle database replication.

Cisco TES 6.1 also adds a mobile application for managing a Hadoop environment from an Apple iPhone and a self-service Cisco Workplace Portal for managing the environment from a desktop computer.

Cisco’s Greene has seen Hadoop emerge over time as an open source way of analyzing big data in order to gain business insights, starting with ad hoc systems implemented in small environments, which he called an “under desk” deployment. Gradually Hadoop has been deployed in small compute cluster environments and grew to be IT department projects, eventually becoming enterprise scale systems with performance requirements and service level agreements in place.

“If we put our crystal ball out, we see enterprise-wide operations occurring with almost Hadoop as a service,” Greene said, adding that TES can run in an Amazon Web Services cloud environment. “Hadoop is something we’re just beginning with in the industry.”

Editor's Note: The headline in this story was revised to reflect the correct spelling of Cisco's updated Scheduler.

 
 
 
 
 
 
 
 
 
 
 
 
 

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