December 2017
Intermediate to advanced
468 pages
13h 12m
English
In the big data world, a massive volume of data can get into the data store. However, all of the data is not required or meaningful in every business case. The stage transform pattern provides a mechanism for reducing the data scanned and fetches only relevant data.
HDFS has raw data and business-specific data in a NoSQL database that can provide application-oriented structures and fetch only the relevant data in the required format:

Combining the stage transform pattern and the NoSQL pattern is the recommended approach in cases where a reduced data scan is the primary requirement. The preceding diagram depicts one ...
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