Databases Reference
In-Depth Information
Big data analytics as an area are fast evolving; in the future, there will be many more
technologies that can co-exist and compliment the Hadoop/map-reduce framework.
The key is to understand the use case you require. The requirements of use case will dictate
what kind of technology components you would like to explore and how effective they are.
References
When Should Analytics be in memory?:
www.dbms2.com
The coming in-memory database tipping point: SQL Server Blog - David Campbell
In-memory Analytical Systems: Perspective, Trade-offs and Implementation: TibcoSpotfire
Whitepaper
In-Memory Analytics Strategies for Real-Time CRM: Whitepaper by Booz & Company
In-Memory or Not In-Memory - What Should You Expect from Your Business Analytics
Application?
www.pentaho.com
Plattner, H. and A. Zeier. 2011.
In-Memory Data Management: An Inflection Point for Enterprise
Applications.
Heidelberg, Dordrecht, London, New York: Springer.
