September 2017
Beginner to intermediate
360 pages
8h 13m
English
book
Practical Real-time Data Processing and Analytics
by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
Content preview from Practical Real-time Data Processing and Analytics
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Storage
This is the stable storage to which intermittent or end results and alerts are written into. It's a very crucial component in the NRT context because we need to store the end results in a persistent store. Secondly, it serves as an integration point for further downstream applications which draw data from these low latency stores and evolve further insights or deep learning around them.
The following table clearly captures the various data stores and their alignment to the time SLA of NRT applications:
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