Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/872
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dc.contributor.authorLuu, Hien. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:57Z-
dc.date.available2020-05-17T08:22:57Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484235799 ;en_US
dc.identifier.isbn9781484235782 (print) ;en_US
dc.identifier.isbn9781484235805 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/872-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484235782. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484235805. ;en_US
dc.description.abstractDevelop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, youeell discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, youeell learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library. ;en_US
dc.description.statementofresponsibilityby Hien Luu.en_US
dc.description.tableofcontents1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark. ;en_US
dc.format.extentXI, 393 p. 86 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484235782.pdfen_US
dc.subjectBig data. ;en_US
dc.subjectJava (Computer program language). ;en_US
dc.subjectData Miningen_US
dc.subjectOpen source software. ;en_US
dc.subjectComputer Programmingen_US
dc.subjectBig Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;en_US
dc.subjectJava. ; http://scigraph.springernature.com/things/product-market-codes/I29070. ;en_US
dc.subjectData Mining and Knowledge Discovery. ; http://scigraph.springernature.com/things/product-market-codes/I18030. ;en_US
dc.subjectOpen Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;en_US
dc.subject.lccQA76.9.B45 ;en_US
dc.titleBeginning Apache Spark 2en_US
dc.title.alternativeWith Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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9781484235782.pdf5.68 MBAdobe PDFThumbnail
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Full metadata record
DC FieldValueLanguage
dc.contributor.authorLuu, Hien. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:57Z-
dc.date.available2020-05-17T08:22:57Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484235799 ;en_US
dc.identifier.isbn9781484235782 (print) ;en_US
dc.identifier.isbn9781484235805 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/872-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484235782. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484235805. ;en_US
dc.description.abstractDevelop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, youeell discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, youeell learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library. ;en_US
dc.description.statementofresponsibilityby Hien Luu.en_US
dc.description.tableofcontents1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark. ;en_US
dc.format.extentXI, 393 p. 86 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484235782.pdfen_US
dc.subjectBig data. ;en_US
dc.subjectJava (Computer program language). ;en_US
dc.subjectData Miningen_US
dc.subjectOpen source software. ;en_US
dc.subjectComputer Programmingen_US
dc.subjectBig Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;en_US
dc.subjectJava. ; http://scigraph.springernature.com/things/product-market-codes/I29070. ;en_US
dc.subjectData Mining and Knowledge Discovery. ; http://scigraph.springernature.com/things/product-market-codes/I18030. ;en_US
dc.subjectOpen Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;en_US
dc.subject.lccQA76.9.B45 ;en_US
dc.titleBeginning Apache Spark 2en_US
dc.title.alternativeWith Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484235782.pdf5.68 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLuu, Hien. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:22:57Z-
dc.date.available2020-05-17T08:22:57Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484235799 ;en_US
dc.identifier.isbn9781484235782 (print) ;en_US
dc.identifier.isbn9781484235805 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/872-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484235782. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484235805. ;en_US
dc.description.abstractDevelop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, youeell discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, youeell learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library. ;en_US
dc.description.statementofresponsibilityby Hien Luu.en_US
dc.description.tableofcontents1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark. ;en_US
dc.format.extentXI, 393 p. 86 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484235782.pdfen_US
dc.subjectBig data. ;en_US
dc.subjectJava (Computer program language). ;en_US
dc.subjectData Miningen_US
dc.subjectOpen source software. ;en_US
dc.subjectComputer Programmingen_US
dc.subjectBig Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;en_US
dc.subjectJava. ; http://scigraph.springernature.com/things/product-market-codes/I29070. ;en_US
dc.subjectData Mining and Knowledge Discovery. ; http://scigraph.springernature.com/things/product-market-codes/I18030. ;en_US
dc.subjectOpen Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;en_US
dc.subject.lccQA76.9.B45 ;en_US
dc.titleBeginning Apache Spark 2en_US
dc.title.alternativeWith Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484235782.pdf5.68 MBAdobe PDFThumbnail
Preview File