August 2017
Beginner to intermediate
278 pages
6h 40m
English
book
Building Data Streaming Applications with Apache Kafka
by Chanchal Singh, Manisha Sethi, Manish Kumar, Anshul Joshi
Content preview from Building Data Streaming Applications with Apache Kafka
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Introduction to Spark
Apache Spark is distributed in-memory data processing system. It provides rich set of API in Java, Scala, and Python. Spark API can be used to develop applications which can do batch and real-time data processing and analytics, machine learning, and graph processing of huge volumes of data on a single clustering platform.
Spark development was started in 2009 by a team at Berkeley's AMPLab for improving the performance of MapReduce framework.
MapReduce is another distributed batch processing framework developed by Yahoo in context to Google research paper.
What they found was that an application which involves an iterative approach to solving certain problems can be improvised by reducing disk I/O. Spark allows us to ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.