Beginning Apache Spark 2

With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library de

Éditeur :

Apress


Paru le : 2018-08-16

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Description

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 platformHowto 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 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.  

Pages
393 pages
Collection
n.c
Parution
2018-08-16
Marque
Apress
EAN papier
9781484235782
EAN PDF
9781484235799

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
5765 Ko
Prix
46,34 €
EAN EPUB
9781484235799

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
7383 Ko
Prix
46,34 €

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