Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1666
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dc.contributor.authorYadav, Vinit. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:31:02Z-
dc.date.available2020-05-17T08:31:02Z-
dc.date.issued2017en_US
dc.identifier.isbn9781484228692 ;en_US
dc.identifier.isbn9781484228685 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1666-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484228685. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractGet 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. ;en_US
dc.description.statementofresponsibilityby Vinit Yadav.en_US
dc.description.tableofcontentsChapter 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. ;en_US
dc.format.extentXIX, 207 p. 93 illus., 73 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484228692.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData structures (Computer science). ;en_US
dc.subjectDatabase Managementen_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectData Storage Representation. ;en_US
dc.subjectDatabase Management. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.titleProcessing Big Data with Azure HDInsighten_US
dc.title.alternativeBuilding Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
dc.classification.lcQA76.9.D35 ;en_US
dc.classification.dc004.5 ; 23 ;en_US
Appears in Collections:مهندسی فناوری اطلاعات

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9781484228692.pdf5.59 MBAdobe PDFThumbnail
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dc.contributor.authorYadav, Vinit. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:31:02Z-
dc.date.available2020-05-17T08:31:02Z-
dc.date.issued2017en_US
dc.identifier.isbn9781484228692 ;en_US
dc.identifier.isbn9781484228685 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1666-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484228685. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractGet 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. ;en_US
dc.description.statementofresponsibilityby Vinit Yadav.en_US
dc.description.tableofcontentsChapter 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. ;en_US
dc.format.extentXIX, 207 p. 93 illus., 73 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484228692.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData structures (Computer science). ;en_US
dc.subjectDatabase Managementen_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectData Storage Representation. ;en_US
dc.subjectDatabase Management. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.titleProcessing Big Data with Azure HDInsighten_US
dc.title.alternativeBuilding Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
dc.classification.lcQA76.9.D35 ;en_US
dc.classification.dc004.5 ; 23 ;en_US
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484228692.pdf5.59 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYadav, Vinit. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:31:02Z-
dc.date.available2020-05-17T08:31:02Z-
dc.date.issued2017en_US
dc.identifier.isbn9781484228692 ;en_US
dc.identifier.isbn9781484228685 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1666-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484228685. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractGet 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. ;en_US
dc.description.statementofresponsibilityby Vinit Yadav.en_US
dc.description.tableofcontentsChapter 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. ;en_US
dc.format.extentXIX, 207 p. 93 illus., 73 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484228692.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData structures (Computer science). ;en_US
dc.subjectDatabase Managementen_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectData Storage Representation. ;en_US
dc.subjectDatabase Management. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.titleProcessing Big Data with Azure HDInsighten_US
dc.title.alternativeBuilding Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
dc.classification.lcQA76.9.D35 ;en_US
dc.classification.dc004.5 ; 23 ;en_US
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484228692.pdf5.59 MBAdobe PDFThumbnail
Preview File