Organizations must rethink their data management architectures as they embrace Hadoop. They must protect their most critical data assets while empowering the business to perform innovative analysis. At the same time, they must answer the following questions:
Mark Donsky and Vikas Singh explain how some of the world’s most sophisticated Hadoop deployments are addressing these data challenges head-on while preserving Hadoop’s flexibility through an integrated data management and governance approach for Hadoop. Mark and Vikas share a big data governance capability maturity model that provides a step-by-step guide to kickstart your big data governance initiatives, based on best practices from leading big data deployments that span many different industries, both regulated and unregulated. Along the way, they also discuss how users can discover, trust, protect, and govern the data that matters most.
Mark Donsky is a director of product management at Okera, a software provider that provides discovery, access control, and governance at scale for today’s modern heterogenous data environments, where he leads product management. Previously, Mark led data management and governance solutions at Cloudera, and he’s held product management roles at companies such as Wily Technology, where he managed the flagship application performance management solution, and Silver Spring Networks, where he managed big data analytics solutions that reduced greenhouse gas emissions by millions of dollars annually. He holds a BS with honors in computer science from the Western University, Ontario, Canada.
Vikas Singh is a software engineer at Cloudera.
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