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Control-M for Hadoop

Control-M for Hadoop


Realize the benefits of big data faster

Hadoop, the most popular open source framework for working with big data, and BMC Control-M, a centralized console for managing and scheduling batch workloads, are working together like never before. With Control-M for Hadoop, you can simplify and automate Hadoop batch processing for faster implementation and more accurate big-data analytics.

  • Create, collaborate, and manage workflows in Hadoop and across the enterprise.
  • Get more from predictive analytics, automated alerts, early problem detection, and quick issue resolution.
  • Build jobs in seconds and add relationships with drag-and-drop ease.
  • Convert existing Oozie jobs to Control-M, or use Control-M to execute jobs defined in Oozie.
  • Easily move data between Hadoop clusters with no need to create new scripts.
  • Set up automatic notifications for critical events.

Simplify and automate Hadoop batch processing

Efficiently manage your Hadoop jobs and workflows, including quickly creating new Hadoop applications and getting them into production to achieve your big data goals.

Simple, automated application batch processing

Easily create jobs, collaborate on workflows, and schedule and manage batch business services.

Easy-to-use, familiar interface


Manage workflows using a simple drag-and-drop interface with a single point of control for all workloads.

Faster application implementation

Accelerate time to market since you no longer need to build manual scripts for common tasks.

Auto-notification

Ensure the right people are automatically notified when something goes wrong.

Accurate forecasting

Quickly forecast which jobs will run and analyze the impact of changes to your Hadoop workloads.

Service level agreements (SLAs)

Confidently meet your governance and audit requirements with version control and proactive monitoring.

Seamless integration with Hadoop ecosystem

Control-M for Hadoop certifications:

To learn more about how we can help you improve
performance while reducing cost and risk.

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