Many Hadoop clusters lack even the most basic security controls. This is due to several factors: some security features did not exist as recently as two years ago, and the complexity of Hadoop security has proved daunting to administrators. However, it’s incumbent on security admins to ensure a consistently secured and governed experience for end users and administrators across multiple workloads that span on-premises, private cloud, multicloud, and hybrid cloud deployments.
Mark Donsky, Steffen Maerkl, and André Araujo share best practices for meeting these challenges as they walk you through securing a Hadoop cluster. You’ll start with a cluster with no security and then add security features related to authentication, authorization, encryption of data at rest, encryption of data in transit, and complete data governance. For each security feature, Mark, Steffen, and André cover the following topics:
Mark Donsky leads product management at Okera, a software provider that provides discovery, access control, and governance at scale for today’s modern heterogeneous data environments. Previously, Mark led data management and governance solutions at Cloudera. Mark has 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 University of Western Ontario.
Steffen Maerkl is a systems engineer at Cloudera, where he is part of the global security and data governance specialization team supporting customers across the central EMEA region, with a strong focus on the automotive, manufacturing, and telco markets. Steffen has held a number of consulting and presales positions in the fields of data warehousing, business analytics, and big data at companies such as Cirquent/NTT Data and Oracle. He holds a BSc in business informatics from the Technical University of Munich.
André Araujo is a principal solutions architect at Cloudera. An experienced consultant with a deep understanding of the Hadoop stack and its components and a methodical and keen troubleshooter who loves making things run faster, André is skilled across the entire Hadoop ecosystem and specializes in building high-performance, secure, robust, and scalable architectures to fit customers’ needs.
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