You're reading from Data Engineering with Python

Product typeBook

Published inOct 2020

Reading LevelBeginner

PublisherPackt

ISBN-139781839214189

Edition1st Edition

Languages

Python

Concepts

Data Analysis

Author (1)

Paul Crickard

Installing and running Spark

Apache Spark is a distributed data processing engine that can handle both streams and batch data, and even graphs. It has a core set of components and other libraries that are used to add functionality. A common depiction of the Spark ecosystem is shown in the following diagram:

Figure 14.1 – The Apache Spark ecosystem

To run Spark as a cluster, you have several options. Spark can run in a standalone mode, which uses a simple cluster manager provided by Spark. It can also run on an Amazon EC2 instance, using YARN, Mesos, or Kubernetes. In a production environment with a significant workload, you would probably not want to run in standalone mode; however, this is how we will stand up our cluster in this chapter. The principles will be the same, but the standalone cluster provides the fastest way to get you up and running without needing to dive into more complicated infrastructure.

To install Apache Spark, take the following...

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Data Engineering with Python

Published in: Oct 2020Publisher: PacktISBN-13: 9781839214189

Author (1)

Paul Crickard

Paul Crickard authored a book on the Leaflet JavaScript module. He has been programming for over 15 years and has focused on GIS and geospatial programming for 7 years. He spent 3 years working as a planner at an architecture firm, where he combined GIS with Building Information Modeling (BIM) and CAD. Currently, he is the CIO at the 2nd Judicial District Attorney's Office in New Mexico.
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Installing and running Spark

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