CA Workload Automation Advanced Integration for Hadoop

Visualize and manage dependencies of Hadoop and traditional jobs from a central location.

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Hadoop holds the key to unlocking your organization’s potential


Apache Hadoop provides a rudimentary job scheduler where users can manage Hadoop jobs to achieve limited automation. A typical customer workload environment comprises a variety of jobs that include not only Hadoop jobs, but also cross-enterprise workloads.

CA Workload Automation Advanced Integration for Hadoop provides CA Workload Automation DE (dSeries), CA Workload Automation AE (AutoSys®) and CA Workload Automation ESP Edition customers the ability to add Hadoop jobs to their existing workflows along with other traditional jobs. You can now monitor end-to-end workflows from a single console without having to go through multiple schedulers. 

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Control and visibility.

Execute Hadoop jobs in sync with workflows running in the rest of the enterprise.

Faster response to business demands.

Auto-trigger traditional jobs that may be dependent on Hadoop job workflows.

Native Hadoop integration.

Simplify scheduling and management of big data business services with enterprise apps.

A Workload Automation solution for Hadoop that delivers.


CA Workload Automation Advanced Integration for Hadoop delivers:

  • A single view to visualize end-to-end business processes and control Hadoop applications in sync with workflows running in the rest of the enterprise.   
  • More efficient job processing and faster response to changing business demands by triggering traditional jobs which may be dependent on a specific job in the Hadoop workflow, without having to wait for time-based processes to complete.
  • Native integration for Hadoop and enterprise applications helps simplify the creation, scheduling and management of big data business services.
  • Comprehensive auditing and flexible reporting capabilities to easily meet corporate governance and regulatory compliance with a proven workload solution.

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