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in a computationally simple and natural manner, scale-out is used to create resources
for the tasks to finish interactively, and enough storage is allocated for several exports
to proceed simultaneously.
In summary, the design methodology of a big data and analytical data warehouse
is substantially different from a reporting data warehouse. Understanding the primary
customer of a data warehouse can often help simplify operations of the data warehouse
and help lower the operating point costs substantially by making priorities clearer.
References
http://blogs.informatica.com/perspectives/2010/11/17/understanding-data-
integration-patterns-simple-to-complex : David Linthicum, November 17, 2010
http://www.datasciencecentral.com/profiles/blogs/11-core-big-data-workload-
design-patterns : Derrick Jose, August 13, 2012
http://highlyscalable.wordpress.com/2012/03/01/nosql-data-modeling-techniques :
IlyaKatsov, March 1, 2012
Is Data Modeling Relevant in a NoSQL environment? Robinson Ryan
MapReduce Patterns, Algorithms, and Use Cases: Highly Scalable Blog- IlyaKatsov, February 1, 2012
http://www.codeproject.com/Articles/279947/Migration-of-Relational-Data-
structure-to-Cassandra
 
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