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03152nam a22004095i 4500 |
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978-1-4842-2370-3 |
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DE-He213 |
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20161229145401.0 |
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cr nn 008mamaa |
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161229s2017 xxu| s |||| 0|eng d |
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|a 9781484223703
|9 978-1-4842-2370-3
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|a 10.1007/978-1-4842-2370-3
|2 doi
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|d GrThAP
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| 100 |
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|a Akhtar, Shakil.
|e author.
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| 245 |
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|a Pro Apache Phoenix
|h [electronic resource] :
|b An SQL Driver for HBase /
|c by Shakil Akhtar, Ravi Magham.
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|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2017.
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| 300 |
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|a XV, 140 p. 108 illus., 95 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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0 |
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|a 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.
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|a 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.
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|a Computer science.
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| 650 |
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|a Database management.
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| 650 |
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|a Data mining.
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4 |
|a Computer Science.
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| 650 |
2 |
4 |
|a Open Source.
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| 650 |
2 |
4 |
|a Database Management.
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| 650 |
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4 |
|a Data Mining and Knowledge Discovery.
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| 700 |
1 |
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|a Magham, Ravi.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9781484223697
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| 856 |
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|u http://dx.doi.org/10.1007/978-1-4842-2370-3
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-CWD
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| 950 |
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|a Professional and Applied Computing (Springer-12059)
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