January 2019
Beginner to intermediate
154 pages
4h 31m
English
Content preview from Apache Spark Quick Start Guide
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What is Spark?
Apache Spark is a distributed computing framework which makes big-data processing quite easy, fast, and scalable. You must be wondering what makes Spark so popular in the industry, and how is it really different than the existing tools available for big-data processing? The reason is that it provides a unified stack for processing all different kinds of big data, be it batch, streaming, machine learning, or graph data.
Spark was developed at UC Berkeley’s AMPLab in 2009 and later came under the Apache Umbrella in 2010. The framework is mainly written in Scala and Java.
Spark provides an interface with many different distributed and non-distributed data stores, such as Hadoop Distributed File System (HDFS), Cassandra, Openstack ...
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