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Beginning Apache Spark : With Streams, Resilient Distributed Datasets, Spark SQL, and Machine Learning by Hien Luu (2018, Trade Paperback)
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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.
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About this product
Product Identifiers
PublisherApress L. P.
ISBN-101484235789
ISBN-139781484235782
eBay Product ID (ePID)242806589
Product Key Features
Number of PagesXi, 393 Pages
LanguageEnglish
Publication NameBeginning Apache Spark : With Streams, Resilient Distributed Datasets, Spark SQL, and Machine Learning
SubjectProgramming Languages / Java, Databases / Data Mining, Databases / General
Publication Year2018
TypeTextbook
Subject AreaComputers
AuthorHien Luu
FormatTrade Paperback
Dimensions
Item Weight27.3 Oz
Item Length10 in
Item Width7 in
Additional Product Features
Number of Volumes1 vol.
IllustratedYes
Table Of Content1. Introduction to Apache Spark 2. Working with Apache Spark 3. Resilient Distributed Dataset 4. Spark SQL - Foundation 5. Spark SQL - Advanced 6. Spark Streaming 7. Spark Streaming Advanced 8. Machine Learning with Spark.
SynopsisDevelop 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.
LC Classification NumberQA75.5-76.95
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