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.
Ensure the right people are automatically notified when something goes wrong.
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:
Take a closer look
- Integrate with Spark, Oozie, MapReduce, Pig, Hive, Tajo, Sqoop, Streaming, and Hadoop Distributed File System (HDFS).
- Eliminate errors and reduce training needs with a single point of control.
- Closely monitor batch jobs that make up a service.
- Guarantee delivery and full visibility of critical data movement with integrated file transfers.
- Always be in compliance with comprehensive auditing and flexible reporting.
- Empower non-technical users to manage their own workloads with self-service and mobility options.
“Our project delivers a Big Data cloud service for our customer banks. We have 6,000 Hadoop jobs moving over 150GB of data daily for our first two cloud service customers, and we plan to extend service to the rest of Grupo Santander banks...BMC has delivered again with Control-M for Hadoop.”— Nuno Miguel Portela, IT Senior Manager, Produbon
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