DEVOPSdigest

BMC announced an expanded Big Data strategy to automate, accelerate and secure enterprise-class Hadoop environments, enabling operational excellence and a competitive edge in the digital age. Adding to its Big Data strategy, BMC also announced Control-M Automation API, designed to improve Hadoop application deployment agility.

"Many companies are rushing to deploy Big Data projects as part of their digital transformation to create new business models, accelerate growth, and radically reduce cost structures," said Robin Purohit, Group President, Enterprise Solutions Organization at BMC. "However, implementing a Big Data initiative can be challenging, and once you move from the sandbox to production it's important to integrate with existing enterprise applications and optimize the costs of underlying infrastructure. BMC's Big Data solutions provide the right tools to make production Hadoop environments successful in the enterprise."

To enable companies to fully leverage their data in support of Digital Enterprise Management, BMC's Big Data solutions deliver:

- Automate – Automation of workflows and integration of Hadoop with the technology stack is key to delivering big data projects faster and ensuring reliability and scalability. BMC's Control-M solution accelerates the delivery of big data projects and allows seamless integration of Hadoop workflows with other applications in the datacenter and cloud.

- Accelerate – Big data initiatives running at scale involve huge volumes of data that need the infrastructure resources to scale up quickly. With seemingly unlimited possibilities for data to increase, it is important to operationalize the infrastructure to ensure it is running at peak performance. BMC's TrueSight Capacity Optimization solution helps to plan and rightsize Hadoop environments – including compute, storage and network resources, ensuring control over infrastructure costs, while the TrueSight Operations Management helps IT deliver uninterrupted service.

- Secure – Protecting applications and the data they use is essential, and to accomplish this, you must first know all the assets you have, how the assets depend on each other and most importantly, how they support the business. The BMC Discovery enterprise management solution provides a dynamic, holistic view of big data infrastructures including Hadoop, storage, analytics and consuming processes, giving IT crucial visibility across the entire organization. Proper discovery and dependency mapping ensures that IT avoids siloed big data initiatives, ensures compliance, and secures the environment.

BMC is also announcing the expansion of its Control-M for Hadoop solution with the release of the Control-M Automation API. The Control-M Automation API is a set of programmatic interfaces for Hadoop architects, engineers, and developers to use Control-M in a self-service manner within the agile application release process. Using JSON notation for job definitions, GIT and RESTful APIs for validation, configuration, and deployment, workflow-scheduling artifacts are seamlessly integrated with preferred tools used to automate the Hadoop application release and deployment process. This allows Hadoop program teams to shrink the development-to-production cycle, delivering new capabilities to the business faster and increasing the value of their big data initiatives.