May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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Introduction
Apache Spark is a general-purpose cluster computing system to process big data workloads. What sets Spark apart from its predecessors, such as Hadoop MapReduce, is its speed, ease of use, and sophisticated analytics.
It was originally developed at AMPLab, UC Berkeley, in 2009. It was made open source in 2010 under the BSD license and switched to the Apache 2.0 license in 2013. Toward the later part of 2013, the creators of Spark founded Databricks to focus on Spark's development and future releases.
Databricks offers Spark as a service in the Amazon Web Services(AWS) Cloud, called Databricks Cloud. In this book, we are going to maximize the use of AWS as a data storage layer.
Talking about speed, Spark can achieve subsecond latency ...
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