Driving business value from Big Data has become a major business imperative for companies to remain competitive. One of the challenges organizations face today is taking their Hadoop applications and moving them into production workflows as quickly as possible. To optimize the desired business impact of Hadoop, enterprise class job scheduling with traditional IT technologies and applications is required. Unfortunately, many development teams do not consider this production aspect when building Hadoop workflows, further complicating deployment and delaying the entire application delivery process.
BMC Control-M Workload Automation adds native integration for MapR with the Control-M for Hadoop components that simplifies and accelerates delivery of enterprise Hadoop application workflows.
Application developers can use graphical forms to quickly build Hadoop jobs instead of coding scripts. Comprehensive exit code analysis and output scanning, coupled with job templates and drag-and-drop design, make it easy to build even the most complex workflows. Once in operation, Control-M for Hadoop monitors performance to SLAs, executes automatic event triggers to prevent potential problems and provides easy access to all job output.
BMC Control-M delivers a powerful yet easy-to-use workflow management framework that simplifies creation of big data applications, provides robust operational management, and gives business users an intuitive facility for managing their Hadoop and non-Hadoop application workloads.
BMC Control-M Workload Automation builds, changes, schedules, and monitors complex batch services—all from one powerful location.
BMC Control-M for Hadoop automates MapR batch processes and enables workflows to be developed, scheduled, managed and monitored with all other enterprise workloads in a single solution. It takes the complexity out of Hadoop workflow management, which leads to faster implementation and more accurate results.
You can build composite digital services to add Hadoop workflows into the enterprise fabric that includes mainframe and distributed platforms along with file transfer, virtualization, cloud technologies, SOA and relational databases.
With the ability to monitor and manage Hadoop workflows with predictive analytics and automated alerts, early problem detection and quick resolution improve on-time service delivery of your Big Data analytics.
MapR takes enterprises places they haven’t gone before. Control-M for Hadoop makes it easy to manage these innovations and integrate them with enterprise operations.
Automating the batch workload lifecycle is now easier and more efficient than ever before. BMC Control-M Workload Automation builds, changes, schedules, and monitors complex batch services—all from one powerful location.
Control-M for Hadoop streamlines and simplifies Hadoop batch processing. It shortens development time by providing an intuitive interface for building workflows. It also includes native support for MapR, traditional platforms and applications and even file transfers, so integrating these technologies to create batch flows becomes simple. By making it easy for staff to create and manage workflows Control-M for Hadoop helps enterprises get more out of their big data initiatives.
Control-M for Hadoop is a powerful and convenient management component that complements the advanced Big Data capabilities provided by MapR.
Reliable, Highly-Available Big Data Platform
One unified platform for Hadoop, NoSQL, database and streaming applications.
Proven Production Readiness
Benefit from both open source community innovation as well as MapR architectural enhancements.
Consistent High Performance
Eliminate downtime and performance bottlenecks, while ensuring business continuity.
BMC delivers software solutions that help IT transform digital enterprises for the ultimate competitive business advantage. We have worked with thousands of leading companies to create and deliver powerful IT management services. From mainframe to cloud to mobile, we pair high-speed digital innovation with robust IT industrialization, allowing our customers to provide amazing user experiences with optimized IT performance, cost, compliance, and productivity. We believe technology is the heart of every business, and that IT drives business to the digital age.
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. MapR is used by more than 700 customers across ad media, consumer products, financial services, government, healthcare, manufacturing, market research, networking and computers, retail/online and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Amazon, Cisco, Google, Teradata and HP are part of the broad MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. MapR is based in San Jose, CA.