Rethink and Extend Data Security Policies to Include Hadoop


Published: 05 October 2016 ID: G00298911

Analyst(s):

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Summary

Three distinct, competing stacks of security software are emerging from Apache Hadoop distributors in co-opetition with existing data security solutions, complicating choices for data and analytics leaders just as security emerges as a key concern.

Table of Contents

  • Analysis
  • Impacts and Recommendations
    • Existing data security approaches assume DBMS-based policy enforcement for authenticated, authorized users; however, Hadoop's file system-based stack lacks these capabilities
    • Hadoop security stacks emerging from three independent distributors remain immature and are not comprehensive; they are therefore likely to create incompatible, inflexible deployments and promote vendor lock-in
    • Implementing a secure Hadoop deployment will require a new, closely managed custom-made stack to be built in partnership with organizational stakeholders including data stewards, data scientists and business users
  • Gartner Recommended Reading
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