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E-book
Author Akhtar, Shakil, author.

Title Pro Apache Phoenix : an SQL driver for HBase / Shakil Akhtar, Ravi Magham
Published [United States] : Apress, 2017
New York, NY : Distributed to the Book trade worldwide by Springer
©2017

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Description 1 online resource
Contents Chapter 1:Introduction to Big Data Analytics -- Chapter 2:Using Phoenix for HBase -- Chapter 3:Performing CRUD operations using phoenix -- Chapter 4:Advance Querying -- Chapter 5:Transactions -- Chapter 6:Advance Phoenix concepts -- Chapter 7:Performance Tuning -- Chapter 8:Integrating Phoenix with other frameworks -- Chapter 9:Tools & Tuning
Summary 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. Pro Apache Phoenix covers the nuances of setting up a distributed HBase cluster with Phoenix libraries, running performance benchmarks, configuring parameters for production scenarios, and viewing the results. The book also shows how Phoenix plays well with other key frameworks in the Hadoop ecosystem such as Apache Spark, Pig, Flume, and Sqoop. 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
Notes Includes index
Online resource; title from PDF title page (SpringerLink, viewed January 11, 2017)
SUBJECT Apache (Computer file : Apache Group) http://id.loc.gov/authorities/names/no97023874
Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279
Apache (Computer file : Apache Group) fast
Apache Hadoop fast
Subject SQL (Computer program language)
Computer programming -- software development.
COMPUTERS -- Programming Languages -- SQL.
SQL (Computer program language)
Form Electronic book
Author Magham, Ravi, author
ISBN 9781484223703
1484223705
1484223691
9781484223697