Hien Luu: Beginning Apache Spark 2 | preigu

Cover: 9781484235782 | Beginning Apache Spark 2 | Hien Luu | Taschenbuch | Englisch | 2018

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Sprache: Englisch

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Beschreibung

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

Along the way, you´ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you´ll learn the fundamentals of Spark ML for machine learning and much more.

After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications.

What You Will Learn

Understand Spark unified data processing platform
How to run Spark in Spark Shell or Databricks
Use and manipulate RDDs
Deal with structured data using Spark SQL through its operations and advanced functions
Build real-time applications using Spark Structured Streaming
Develop intelligent applications with the Spark Machine Learning library

Who This Book Is For

Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.

|

A tutorial on the Apache Spark platform written by expert engineer and trainer using and teaching Spark

One of the very first books on the new Apache Spark 2.1

Apache Spark is the leading alternative to Hadoop

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

Along the way, you´ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you´ll learn the fundamentals of Spark ML for machine learning and much more.

After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications.

What You Will Learn

Understand Spark unified data processing platform
How to run Spark in Spark Shell or Databricks
Use and manipulate RDDs
Deal with structured data using Spark SQL through its operations and advanced functions
Build real-time applications using Spark Structured Streaming
Develop intelligent applications with the Spark Machine Learning library

Who This Book Is For

Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.

|

A tutorial on the Apache Spark platform written by expert engineer and trainer using and teaching Spark

One of the very first books on the new Apache Spark 2.1

Apache Spark is the leading alternative to Hadoop

Details

Erscheinungsjahr:	2018
Medium:	Taschenbuch
Inhalt:	Einband - flex.(Paperback)
ISBN-13:	9781484235782
ISBN-10:	1484235789
Sprache:	Englisch
Ausstattung / Beilage:	XI, 393 S., 86 s/w Illustr.
Einband:	Kartoniert / Broschiert
Autor:	Hien Luu
Auflage:	1. Auflage
Hersteller:	Apress
Verantwortliche Person für die EU:	preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Abbildungen:	86 schwarz-weiß Illustrationen
Maße:	254 x 178 x 21 mm
Von/Mit:	Hien Luu
Erscheinungsdatum:	17.08.2018
Gewicht:	0,773 kg

Artikel-ID: 111274484

Details

Erscheinungsjahr:	2018
Medium:	Taschenbuch
Inhalt:	Einband - flex.(Paperback)
ISBN-13:	9781484235782
ISBN-10:	1484235789
Sprache:	Englisch
Ausstattung / Beilage:	XI, 393 S., 86 s/w Illustr.
Einband:	Kartoniert / Broschiert
Autor:	Hien Luu
Auflage:	1. Auflage
Hersteller:	Apress
Verantwortliche Person für die EU:	preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Abbildungen:	86 schwarz-weiß Illustrationen
Maße:	254 x 178 x 21 mm
Von/Mit:	Hien Luu
Erscheinungsdatum:	17.08.2018
Gewicht:	0,773 kg

Artikel-ID: 111274484

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