BMC has announced an expanded big data strategy to automate, accelerate and secure enterprise-class Hadoop environments. The company also announced the 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 optimise the costs of underlying infrastructure.”
BMC’s new solutions deliver:
Automation of workflows and integration of Hadoop with the technology stack. BMC’s Control-M solution accelerates the delivery of big data projects and allows integration of Hadoop workflows with other applications.
BMC’s TrueSight Capacity Optimization solution helps to plan and rightsize Hadoop environments, while the TrueSight Operations Management helps IT deliver uninterrupted service.
The BMC Discovery enterprise management solution provides a dynamic, holistic view of big data infrastructures including Hadoop, storage, analytics and consuming processes.
"As big data becomes more and more central to enterprises strategic planning, the ability to effectively and efficiently manage production Hadoop deployments at scale becomes increasingly important," said Stephen O'Grady, Principal Analyst, RedMonk. "BMC's focus is in building on its long history of enterprise management to bring those capabilities to the big data space generally and to Hadoop specifically."
"Control-M for Hadoop is uniquely positioned to centrally to automate workloads inside and outside of Hadoop, giving us total control and visibility to our entire Big Data ecosystem,” said Darren Chinen, senior director of Data Science and Engineering at Malwarebytes. “In the modern enterprise, cloud infrastructure has allowed us to scale elastically and manage compute costs by workload hour. Control-M is enabling Malwarebytes to manage cloud infrastructure, Hadoop applications, ETL jobs, and dashboard refreshes in a way that takes advantage of the cloud billing model."
BMC is also announcing the expansion of its Control-M for Hadoop solution with the release of the Control-M Automation API for enhanced automation of the Hadoop application release and deployment process.
“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 optimise the costs of underlying infrastructure.”
BMC’s new solutions deliver:
Automation of workflows and integration of Hadoop with the technology stack. BMC’s Control-M solution accelerates the delivery of big data projects and allows integration of Hadoop workflows with other applications.
BMC’s TrueSight Capacity Optimization solution helps to plan and rightsize Hadoop environments, while the TrueSight Operations Management helps IT deliver uninterrupted service.
The BMC Discovery enterprise management solution provides a dynamic, holistic view of big data infrastructures including Hadoop, storage, analytics and consuming processes.
"As big data becomes more and more central to enterprises strategic planning, the ability to effectively and efficiently manage production Hadoop deployments at scale becomes increasingly important," said Stephen O'Grady, Principal Analyst, RedMonk. "BMC's focus is in building on its long history of enterprise management to bring those capabilities to the big data space generally and to Hadoop specifically."
"Control-M for Hadoop is uniquely positioned to centrally to automate workloads inside and outside of Hadoop, giving us total control and visibility to our entire Big Data ecosystem,” said Darren Chinen, senior director of Data Science and Engineering at Malwarebytes. “In the modern enterprise, cloud infrastructure has allowed us to scale elastically and manage compute costs by workload hour. Control-M is enabling Malwarebytes to manage cloud infrastructure, Hadoop applications, ETL jobs, and dashboard refreshes in a way that takes advantage of the cloud billing model."
BMC is also announcing the expansion of its Control-M for Hadoop solution with the release of the Control-M Automation API for enhanced automation of the Hadoop application release and deployment process.
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