Summary of òNew Ways to Exploit Raw Data May Bring Surge of by yurtgc548

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									        Summary of
“Oracle does about-face on
         NoSQL”

Jaikumar Vijayan, ComputerWorld, Oct 4th,
                   2011
      Presented by: James Klassen
                   Summary
• May 2011 Oracle Released paper “Debunking
  NoSQL Hype”. (No longer available) [1]
• Oct 2011 Oracle Released Big Data Appliance based
  on open source stack of Apache Hadoop
  (MapReduce) and R (statistical engine). [1]
• “Oracle's entry, in a sense validates the NoSQL
  space” [1]
           Why Not NoSQL?

• But, MapReduce doesn't allow some SQL features
  that are hard to run reliably in parallel. [3]
• Joins, Full ACID compliance & Transactions
  (across tables) [3]
• “There's no doubt that traditional database
  management products will continue to be around
  for many years” [1]
               Why NoSQL?
• In this case NoSQL means MapReduce
  architecture.
• MapReduce enables massive parallel queries. [2]
• Supports shared-nothing commodity clusters [3]
• Goals: Performance, Fault Tolerance,
  Heterogeneous Environment
            Economic Impact
• New companies forming to support NoSQL
  (10Gen, DataStax, Couchbase, …) [1]
• 10Gen raised $50 million, customers “Viacom,
  Disney, SAP, FourSquare, Shutterfly” [1]
      Relationship With Course
• Relevant to chapters of Big Data, MapReduce,
  Cloud
                          References
[1] Jaikumar Vijayan, ComputerWorld, Oct 2011,
http://www.computerworld.com/s/article/9220501/Oracle_does_about_face_on
_NoSQL?
[2] Google, 2011, http://code.google.com/edu/parallel/mapreduce-tutorial.html
[3] Azza Abouzeid et.al., HadoopDB: An Architectural Hybrid of MapReduce
and DBMS Technologies for Analytical Workloads,
http://db.cs.yale.edu/hadoopdb/hadoopdb.pdf

								
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