Overview
- Democratization of data with a quick and simpler SQL language to data stored in HBase
- Deep insights into data modeling for storing and querying data in the NoSQL data store HBase
- Best practices to be followed to build a scalable data store on Hadoop and HBase
- Integration with other BI tools
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Table of contents (9 chapters)
Keywords
About this book
Leverage Phoenix as an ANSI SQL engine built on top of the highly distributed and scalable NoSQL framework HBase. Learn the basics and best practices that are being adopted in Phoenix to enable a high write and read throughput in a big data space.
This book includes real-world cases such as Internet of Things devices that send continuous streams to Phoenix, and the book explains how key features such as joins, indexes, transactions, and functions help you understand the simple, flexible, and powerful API that Phoenix provides. Examples are provided using real-time data and data-driven businesses that show you how to collect, analyze, and act in seconds.
You will learn how to:
- Handle a petabyte data store by applying familiar SQL techniques
- Store, analyze, and manipulate data in a NoSQL Hadoop echo system with HBase
- Apply best practices while working with a scalable data store on Hadoop and HBase
- Integrate popular frameworks (Apache Spark, Pig, Flume) to simplify big data analysis
- Demonstrate real-time use cases and big data modeling techniques
Who This Book Is For
Data engineers, Big Data administrators, and architects.
Authors and Affiliations
About the authors
Ravi Mugham, an engineer passionate about data and data-driven engineering, experienced with working and scaling solutions to petabyte datasets. In his past experience, he has worked with CA Technologies, Bazaarvoice and various other startups. Actively involved in open source projects and is a PMC member to Apache Phoenix. Currently, his interests are in Distributed Data stream processing
Bibliographic Information
Book Title: Pro Apache Phoenix
Book Subtitle: An SQL Driver for HBase
Authors: Shakil Akhtar, Ravi Magham
DOI: https://doi.org/10.1007/978-1-4842-2370-3
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Shakil Akhtar and Ravi Magham 2017
Softcover ISBN: 978-1-4842-2369-7Published: 30 December 2016
eBook ISBN: 978-1-4842-2370-3Published: 29 December 2016
Edition Number: 1
Number of Pages: XV, 140
Number of Illustrations: 13 b/w illustrations, 95 illustrations in colour
Topics: Open Source