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You're reading from Fast Data Processing with Spark 2 - Third Edition

Product typeBook

Published inOct 2016

Reading LevelBeginner

PublisherPackt

ISBN-139781785889271

Edition3rd Edition

Languages

Scala

Tools

Apache Spark

Concepts

Data Processing

Author (1)

Holden Karau

Summary

In this chapter, we have installed Spark on our machine for local development and set it up on our cluster, and so we are ready to run the applications that we write. While installing and maintaining a cluster is a good option, Spark is also available as a service option from Databricks. Databricks' Databricks Cloud for Spark, available at http://databricks.com/product, is a very convenient offering for anyone who does not want to deal with the set up/maintenance of the cluster. They have the concept of a big data pipeline from ETL to analytics. This looks truly interesting to explore!

In the next chapter, you will learn to use the Spark shell.

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Fast Data Processing with Spark 2 - Third Edition

Published in: Oct 2016Publisher: PacktISBN-13: 9781785889271

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Author (1)

Holden Karau

Holden Karau is a software development engineer and is active in the open source. She has worked on a variety of search, classification, and distributed systems problems at IBM, Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a bachelor's of mathematics degree in computer science. Other than software, she enjoys playing with fire and hula hoops, and welding.
Read more about Holden Karau

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