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To build analytics tools that provide faster insights, knowing how to process data in real time is a must, and moving from batch Processing to Stream Processing is absolutely required.
Understan.
If you\'re familiar with Apache Spark and want to learn how to implement it for Streaming jobs, this practical book is a must.
Fortunately, the Spark in-memory framework/platform for Processing data has added an extension devoted to fault-tolerant Stream processing: Spark Streaming.
To build analytics tools that provide faster insights, knowing how to process data in real time is a must, and moving from batch Processing to Stream Processing is absolutely required
Uneori, aceste descrieri pot contine inadvertente. De asemenea, imaginea este informativa si poate contine accesorii neincluse in pachetele standard.
