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Processing Big Data with Azure HDInsight

Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem

  • Book
  • © 2017

Overview

Authors:
  1. Vinit Yadav

    1. Ahmedabad, India

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  • Covers how Azure HDInsight fits into the big data world
  • Dives deep into creating different solutions with HDInsight and the Hadoop Ecosystem
  • Provides hands-on experience with real-world scenarios and code examples written in .NET to practice while reading

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Big Data, Hadoop, and HDInsight

    • Vinit Yadav
    Pages 1-11

  3. Provisioning an HDInsight Cluster

    • Vinit Yadav
    Pages 13-43

  4. Working with Data in HDInsight

    • Vinit Yadav
    Pages 45-70

  5. Querying Data with Hive

    • Vinit Yadav
    Pages 71-110

  6. Using Pig with HDInsight

    • Vinit Yadav
    Pages 111-122

  7. Working with HBase

    • Vinit Yadav
    Pages 123-142

  8. Real-Time Analytics with Storm

    • Vinit Yadav
    Pages 143-172

  9. Exploring Data with Spark

    • Vinit Yadav
    Pages 173-202

  10. Back Matter

    Pages 203-207
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Keywords

About this book

Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm, and Spark on Azure HDInsight, and code samples are written in .NET only.



Processing Big Data with Azure HDInsight covers the fundamentals of big data, how businesses are using it to their advantage, and how Azure HDInsight fits into the big data world. This book introduces Hadoop and big data concepts and then dives into creating different solutions with HDInsight and the Hadoop Ecosystem. It covers concepts with real-world scenarios and code examples, making sure you get hands-on experience. The best way to utilize this book is to practice while reading. After reading this book you will be familiar with Azure HDInsight and how it can be utilized to build big data solutions, including batch processing, stream analytics, interactive processing, and storing and retrieving data in an efficient manner.



What You'll Learn
  • Understand the fundamentals of HDInsight and Hadoop
  • Work with HDInsight cluster
  • Query with Apache Hive and Apache Pig
  • Store and retrieve data with Apache HBase
  • Stream data processing using Apache Storm
  • Work with Apache Spark
Who This Book Is For







Software developers, technical architects, data scientists/analyts, and Hadoop administrators who want to develop on Microsoft’s managed Hadoop offering, HDInsight









Authors and Affiliations

  • Ahmedabad, India

    Vinit Yadav

About the author

Vinit Yadav is Founder and CEO of Veloxcore. He started working with Azure when it first came out in 2010, and since then he has been continuously involved in designing solutions around the Microsoft Azure platform. At Veloxcore, he continues to build and deliver highly scalable big data solutions. He is also a machine learning and data science enthusiastic, passionate programmer, and has over 12 years of experience in designing and developing enterprise applications using various .NET technologies.

Vinit founded Veloxcore to help organizations leverage big data and machine learning. He and his team at Veloxcore are actively engaged in developing software solutions for their global customers using agile methodologies. On a side note, he likes to travel, read, and watch sci-fi content and loves to draw, paint, and create something new.












Bibliographic Information

  • Book Title: Processing Big Data with Azure HDInsight

  • Book Subtitle: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem

  • Authors: Vinit Yadav

  • DOI: https://doi.org/10.1007/978-1-4842-2869-2

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)

  • Copyright Information: Vinit Yadav 2017

  • Softcover ISBN: 978-1-4842-2868-5Published: 01 June 2017

  • eBook ISBN: 978-1-4842-2869-2Published: 29 May 2017

  • Edition Number: 1

  • Number of Pages: XIX, 207

  • Number of Illustrations: 20 b/w illustrations, 73 illustrations in colour

  • Topics: Big Data, Microsoft and .NET

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