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You're reading from Apache Spark 2.x for Java Developers

Product typeBook

Published inJul 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781787126497

Edition1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Data Streaming

Authors (2):

Sourav Gulati

Sumit Kumar

View More author details

Summary

In this chapter, we learned about the architecture of Spark application in distributed mode. We also discussed Spark applications running on Spark standalone and YARN cluster managers with examples.

In the next chapter, we will learn about advanced concepts of the Spark programming model. We will also discuss partitioning concepts on RDD along with advanced transformations and actions in Spark.

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Apache Spark 2.x for Java Developers

Published in: Jul 2017Publisher: PacktISBN-13: 9781787126497

Authors (2)

Sourav Gulati

Sourav Gulati is associated with software industry for more than 7 years. He started his career with Unix/Linux and Java and then moved towards big data and NoSQL World. He has worked on various big data projects. He has recently started a technical blog called Technical Learning as well. Apart from IT world, he loves to read about mythology.
Read more about Sourav Gulati

Sumit Kumar

Sumit Kumar is a developer with industry insights in telecom and banking. At different junctures, he has worked as a Java and SQL developer, but it is shell scripting that he finds both challenging and satisfying at the same time. Currently, he delivers big data projects focused on batch/near-real-time analytics and the distributed indexed querying system. Besides IT, he takes a keen interest in human and ecological issues.
Read more about Sumit Kumar

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You're reading from Apache Spark 2.x for Java Developers

Summary

Unlock this book and the full library FREE for 7 days

Authors (2)

Apache Spark Quick Start Guide

Learning Apache Spark 2

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