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Practical Apache Spark = Using the S...
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SpringerLink (Online service)
Practical Apache Spark = Using the Scala API /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Practical Apache Spark/ by Subhashini Chellappan, Dharanitharan Ganesan.
Reminder of title:
Using the Scala API /
Author:
Chellappan, Subhashini.
other author:
Ganesan, Dharanitharan.
Description:
XVI, 280 p. 303 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Big data. -
Online resource:
https://doi.org/10.1007/978-1-4842-3652-9
ISBN:
9781484236529
Practical Apache Spark = Using the Scala API /
Chellappan, Subhashini.
Practical Apache Spark
Using the Scala API /[electronic resource] :by Subhashini Chellappan, Dharanitharan Ganesan. - 1st ed. 2018. - XVI, 280 p. 303 illus.online resource.
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You’ll follow a learn-to-do-by-yourself approach to learning – learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On completion, you’ll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You’ll also become familiar with machine learning algorithms with real-time usage. You will: Discover the functional programming features of Scala Understand the complete architecture of Spark and its components Integrate Apache Spark with Hive and Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts and libraries using Spark's MLlib packages.
ISBN: 9781484236529
Standard No.: 10.1007/978-1-4842-3652-9doiSubjects--Topical Terms:
981821
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Practical Apache Spark = Using the Scala API /
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Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You’ll follow a learn-to-do-by-yourself approach to learning – learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On completion, you’ll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You’ll also become familiar with machine learning algorithms with real-time usage. You will: Discover the functional programming features of Scala Understand the complete architecture of Spark and its components Integrate Apache Spark with Hive and Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts and libraries using Spark's MLlib packages.
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