Best practices for securing hadoop

137 views

Published on

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 as recommended in one of Gartner’s recent research report.

Published in: Software
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
137
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
1
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Best practices for securing hadoop

  1. 1. Best Practices for Securing Hadoop Historically,Apache Hadoophasprovidedlimitedsecuritycapabilities,andmostHadoop implementationstodate have beendeployedwithlittle thoughtgiventosecurity.Toprotectsensitive data beingstoredandanalyzedinHadoop,securityarchitectsshoulduse astructuredapproachto securityasrecommendedinone of Gartner’srecentresearchreport. Source: Gartner Source: Gartner
  2. 2. Take a Life Cycle Approach to Securing Data in Hadoop Data has a lifecyclewithin an organization.Itis typically created within enterprise systems,and duringits life cycle,it may go into and out of Hadoop and other big data repositories,as well as into backup and archival systems. Viewed in this way, the Hadoop protection strategy cannotbe limited to the protection of only the data within Hadoop discussed thus far. A best practiceis to take a data life-cycle-centric approach to the security within Hadoop that considers these issues:  How and when is data loaded into Hadoop? Which users,groups and systems have rights to do this? If the data loads areprogrammatic,what controls (such as certificate-based authentication) protect programmatic access? Whatsteps are taken to ensure the integrity and authenticity of the data being loaded?  If sensitivedata is loaded,has itbeen anonymized where necessary?  Are end-user or automated extracts from Hadoop prevented? Or, if allowed,how is the extracted data protected? At a minimum, these activities should belogged usingDAP solutions described in this research.  Is data backed up from Hadoop? Is so,are these backups encrypted? Who has access to the backups?  Is data archived from Hadoop? If so, how are these archives protected? Learn more about what’s new with Big Data and visitthe Bodhtree’s Resource Center for more info.

×