1. Summary of “ Oracle does about-face on NoSQL ” Jaikumar Vijayan, ComputerWorld, Oct 4th, 2011 Presented by: James Klassen

2. 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]

3. 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]

4. 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

5. Economic Impact New companies forming to support NoSQL (10Gen, DataStax, Couchbase, …) [1] 10Gen raised $50 million, customers “Viacom, Disney, SAP, FourSquare, Shutterfly” [1]

6. Relationship With Course Relevant to chapters of Big Data, MapReduce, Cloud

7. 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.htmlhttp://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