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Beginning Apache Spark 2
eBook
eBook
Fachbuch
2018

Beginning Apache Spark 2

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

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ISBN
EAN
978-1-4842-3579-9
9781484235799
Artikel-Nr.
NDP62KW
Rabatt
-21.0
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CHF 45.00
CHF
35.55
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1
speech-bubble-svg 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.  
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Stichwörter
Inhaltsverzeichnis
1. Introduction to Apache Spark2. Working with Apache Spark3. Resilient Distributed Dataset4. Spark SQL - Foundation5. Spark SQL - Advanced6. Spark Streaming7. Spark Streaming Advanced8. Machine Learning with Spark.
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Autor/-in
Autor/-in
Biografie
Hien Luu has extensive experience in designing and building big data applications and machine learning infrastructure. 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 as Data+AI Summit, MLOps World, QCon SF, QCon London, Hadoop Summit, and JavaOne.
Publikation
Vereinigte Staaten
16.08.2018
APRESS
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Sprache
Englisch
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eBook
PDF
393 Seiten
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