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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. 


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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