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 platformHow to run Spark in Spark Shell or Databricks�Use and manipulate RDDs�Deal with structured data using Spark SQL through its operations and advanced functionsBuild real-time applications using Spark Structured StreamingDevelop intelligent applications with the Spark Machine Learning libraryWho This Book Is ForProgrammers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.

N� de ref. del art�culo LU-9781484235782

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Detalles bibliogr�ficos

T�tulo

Beginning Apache Spark 2

Editor

APress, US

Fecha de publicaci�n

2018

Idioma

Ingl�s

ISBN 10

1484235789

ISBN 13

9781484235782

Encuadernaci�n

Paperback

Edici�n

1st ed.

Estado

New

Cat�logos de vendedores

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Sinopsis

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.

Acerca del autor

Hien Luu has extensive experience in designing and building big data applications and scalable web-based applications. He is particularly passionate about the intersection between big data and machine learning. Hien enjoys working with open source software and has contributed to Apache Pig and Azkaban. Teaching is also one of his passions, and he serves as an instructor at the UCSC Silicon Valley Extension school teaching Apache Spark. He has given presentations at various conferences such a QCon SF, QCon London, Seattle Data Day, Hadoop Summit, and JavaOne.

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