Overview
- 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)
Keywords
About this book
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
Software developers, technical architects, data scientists/analyts, and Hadoop administrators who want to develop on Microsoft’s managed Hadoop offering, HDInsight
Authors and Affiliations
About the author
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