Gartner Research

Best Practices for Securing Hadoop

Published: 11 April 2014

ID: G00259441

Analyst(s): Merv Adrian, Neil MacDonald

Summary

Historically, Apache Hadoop has provided limited security capabilities, and most Hadoop implementations to date have been deployed with little thought given to security. To protect sensitive data being stored and analyzed in Hadoop, security architects should use a structured approach to security.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Develop a Strategy for Securing Hadoop Based on Gartner's Framework
  • Favor Commercially Supported Hadoop Distributions
  • Integrate With Existing Enterprise Authentication Mechanisms for Hadoop Identity and Access Management
  • Make Automated Logging of All Hadoop Access Mandatory
  • Encrypt Network Traffic
  • Monitor and Protect From Data Leakage
  • Consider Data Masking and Tokenization as Alternatives to Encryption at the Data Level
    • Data Masking
    • Data Tokenization/Encryption
    • Full-Volume Encryption
  • Take a Life Cycle Approach to Securing Data in Hadoop

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