國立高雄大學圖資館 |

Language: English

Back

Pro Apache Phoenixan SQL driver for ...

Akhtar, Shakil.

Pro Apache Phoenixan SQL driver for HBase /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pro Apache Phoenixby Shakil Akhtar, Ravi Magham.
Reminder of title:	an SQL driver for HBase /
Author:	Akhtar, Shakil.
other author:	Magham, Ravi.
Published:	Berkeley, CA :Apress :2017.
Description:	xv, 140 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	SQL (Computer program language)
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2370-3
ISBN:	9781484223703$q(electronic bk.)

Pro Apache Phoenixan SQL driver for HBase /
Akhtar, Shakil.

Pro Apache Phoenixan SQL driver for HBase /[electronic resource] :by Shakil Akhtar, Ravi Magham. - Berkeley, CA :Apress :2017. - xv, 140 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484223703$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2370-3doiSubjects--Uniform Titles:

Apache (Computer file : Apache Group)
Subjects--Topical Terms:

189402
SQL (Computer program language)

LC Class. No.: TK5105.8885.A63

Dewey Class. No.: 005.756

Pro Apache Phoenixan SQL driver for HBase /
LDR:02659nmm a2200289 a 4500 001 506514
003 DE-He213
005 20170721100930.0
006 m d
007 cr nn 008maaau
008 171030s2017 cau s 0 eng d
020 $a 9781484223703$q(electronic bk.)
020 $a 9781484223697$q(paper)
024 7 $a 10.1007/978-1-4842-2370-3 $2 doi
035 $a 978-1-4842-2370-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.8885.A63
082 0 4 $a 005.756 $2 23
090 $a TK5105.8885.A63 $b A315 2017
100 1 $a Akhtar, Shakil. $3 772572
245 1 0 $a Pro Apache Phoenix $h [electronic resource] : $b an SQL driver for HBase / $c by Shakil Akhtar, Ravi Magham.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2017.
300 $a xv, 140 p. : $b ill., digital ; $c 24 cm.
505 0 $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.
520 $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.
630 0 0 $a Apache (Computer file : Apache Group) $3 217131
630 0 0 $a Apache Hadoop. $3 670816
650 0 $a SQL (Computer program language) $3 189402
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Open Source. $3 758930
650 2 4 $a Database Management. $3 273994
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
700 1 $a Magham, Ravi. $3 772573
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-2370-3
950 $a Professional and Applied Computing (Springer-12059)