國立虎尾科技大學 |

Processing big data with Azure HDInsight = building real-world big data systems on Azure HDInsight using the Hadoop ecosystem /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Processing big data with Azure HDInsight/ by Vinit Yadav.
Reminder of title:	building real-world big data systems on Azure HDInsight using the Hadoop ecosystem /
Author:	Yadav, Vinit.
Published:	Berkeley, CA :Apress : : 2017.,
Description:	xix, 207 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Cloud computing. -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2869-2
ISBN:	9781484228692

Processing big data with Azure HDInsight = building real-world big data systems on Azure HDInsight using the Hadoop ecosystem /
Yadav, Vinit.

Processing big data with Azure HDInsightbuilding real-world big data systems on Azure HDInsight using the Hadoop ecosystem /[electronic resource] :by Vinit Yadav. - Berkeley, CA :Apress :2017. - xix, 207 p. :ill., digital ;24 cm.

Chapter 1: Big Data, Hadoop, and HDInsight -- Chapter 2: Provisioning HDInsight Cluster -- Chapter 3: Working with Data in HDInsight -- Chapter 4: Querying Data with Hive -- Chapter 5: Using Pig with HDInsight -- Chapter 6: Working with HBase -- Chapter 7: Real-Time Analytics with Storm -- Chapter 8: Exploring Data with Spark.

Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm, and Spark on Azure HDInsight, and code samples are written in .NET only. 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 Will 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.

ISBN: 9781484228692

Standard No.: 10.1007/978-1-4842-2869-2doiSubjects--Uniform Titles:

Windows Azure.
Subjects--Topical Terms:

716205
Cloud computing.

LC Class. No.: QA76.585

Dewey Class. No.: 004.6782

Processing big data with Azure HDInsight = building real-world big data systems on Azure HDInsight using the Hadoop ecosystem /
LDR:02755nam a2200325 a 4500 001 885234
003 DE-He213
005 20170529130940.0
006 m d
007 cr nn 008maaau
008 180530s2017 cau s 0 eng d
020 $a 9781484228692 $q (electronic bk.)
020 $a 9781484228685 $q (paper)
024 7 $a 10.1007/978-1-4842-2869-2 $2 doi
035 $a 978-1-4842-2869-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.585
072 7 $a UNF $2 bicssc
072 7 $a UKS $2 bicssc
072 7 $a COM030000 $2 bisacsh
082 0 4 $a 004.6782 $2 23
090 $a QA76.585 $b .Y12 2017
100 1 $a Yadav, Vinit. $3 1142279
245 1 0 $a Processing big data with Azure HDInsight $h [electronic resource] : $b building real-world big data systems on Azure HDInsight using the Hadoop ecosystem / $c by Vinit Yadav.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2017.
300 $a xix, 207 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Big Data, Hadoop, and HDInsight -- Chapter 2: Provisioning HDInsight Cluster -- Chapter 3: Working with Data in HDInsight -- Chapter 4: Querying Data with Hive -- Chapter 5: Using Pig with HDInsight -- Chapter 6: Working with HBase -- Chapter 7: Real-Time Analytics with Storm -- Chapter 8: Exploring Data with Spark.
520 $a Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm, and Spark on Azure HDInsight, and code samples are written in .NET only. 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 Will 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.
630 0 0 $a Windows Azure. $3 885995
630 0 0 $a Apache Hadoop. $3 1025311
650 0 $a Cloud computing. $3 716205
650 0 $a Big data. $3 981821
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Data Storage Representation. $3 669777
650 2 4 $a Database Management. $3 669820
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-2869-2
950 $a Computer Science (Springer-11645)