Securing Hadoop: What Are Your Options? | |||||||||||
Abstract Now that you are faced with moving your Hadoop POC into production, you know that sensitive customer and corporate data will be in the ecosystem–credit card numbers, intellectual property, customer files, and more. Now the question becomes, how to keep all this sensitive data secure, as it moves into Hadoop, as it is stored and as it moves beyond Hadoop? And, most importantly, how to secure the data but still make it available for analytics? After all, analytics is why it’s in Hadoop in the first place. Attend this discussion to learn about security options with authentication, authorization, monitoring and data-level security for Apache Hadoop. Get insight to the use cases and architectural decisions that enable the business benefits you need to deliver, while avoiding risks straight from today’s headlines, including cyber attacks and leaking of sensitive customer data. Cases to be covered include:
Learn how to protect your sensitive data, enable analytics without security risk, and neutralize breaches through new data-centric technologies that are easy to integrate with Hive, Sqoop, MapReduce and many other interfaces. | |||||||||||
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Sponsors: | |||||||||||
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2014/08/18
8/27 WEBINAR: Securing Hadoop: What Are Your Options?
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