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Big Data Analytics

You're reading from   Big Data Analytics Real time analytics using Apache Spark and Hadoop

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785884696
Length 326 pages
Edition 1st Edition
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Author (1):
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Venkat Ankam Venkat Ankam
Author Profile Icon Venkat Ankam
Venkat Ankam
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Toc

Table of Contents (12) Chapters Close

Preface 1. Big Data Analytics at a 10,000-Foot View 2. Getting Started with Apache Hadoop and Apache Spark FREE CHAPTER 3. Deep Dive into Apache Spark 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets 5. Real-Time Analytics with Spark Streaming and Structured Streaming 6. Notebooks and Dataflows with Spark and Hadoop 7. Machine Learning with Spark and Hadoop 8. Building Recommendation Systems with Spark and Mahout 9. Graph Analytics with GraphX 10. Interactive Analytics with SparkR Index

Index

A

  • Abstract Syntax Tree (AST) / RDD Transformations versus Dataset and DataFrames Transformations
  • Abstract Syntax Trees (AST) / Optimization
  • Accelerated Failure Time (AFT)
    • about / Machine learning with SparkR
  • Access Control Lists (ACLs)
    • about / Features of HDFS
  • accumulators / Shared variables
  • actions
    • about / Transformations and actions
    • example / Transformations and actions
    • collect / Actions
    • count / Actions
    • describe / Actions
    • show / Actions
    • take / Actions
  • advanced sources
    • about / Advanced sources
    • Kafka / Advanced sources
    • file stream / Advanced sources
    • Kinesis / Advanced sources
    • Twitter / Advanced sources
    • ZeroMQ / Advanced sources
    • MQTT / Advanced sources
  • Alternating Least Squares (ALS)
    • about / Machine learning algorithms, Recommender systems, A recommendation system with MLlib
  • Amazon Web Services (AWS)
    • about / Advanced sources
  • Ambari service
    • used, for installing Apache Zeppelin / Ambari service
  • ...
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