Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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Añadir al carritoxiii, 264 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 121,56
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 112,10
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Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 112,10
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 127,12
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 112,09
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 131,97
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Añadir al carritoCondición: New. pp. 264.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 129,44
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 128,31
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 142,51
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Añadir al carritoCondición: New. pp. XIII, 264 89 illus., 62 illus. in color. 2019th edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2018
ISBN 10: 9811305498 ISBN 13: 9789811305498
Librería: Revaluation Books, Exeter, Reino Unido
EUR 153,26
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Añadir al carritoHardcover. Condición: Brand New. 264 pages. 9.25x6.25x0.75 inches. In Stock.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 161,30
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore Dez 2018, 2018
ISBN 10: 9811344485 ISBN 13: 9789811344480
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big datäs immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.The book is intended for data engineers and scientistsworking on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore Jun 2018, 2018
ISBN 10: 9811305498 ISBN 13: 9789811305498
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
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Añadir al carritoBuch. Condición: Neu. Neuware -The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big datäs immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.The book is intended for data engineers and scientistsworking on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811305498 ISBN 13: 9789811305498
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 111,53
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.The book is intended for data engineers and scientistsworking on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811344485 ISBN 13: 9789811344480
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 111,35
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.The book is intended for data engineers and scientistsworking on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 164,05
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New. New. book.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 177,13
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. New. book.
Idioma: Inglés
Publicado por Springer Nature Singapore Dez 2018, 2018
ISBN 10: 9811344485 ISBN 13: 9789811344480
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments. 280 pp. Englisch.
Idioma: Inglés
Publicado por Springer Nature Singapore Jun 2018, 2018
ISBN 10: 9811305498 ISBN 13: 9789811305498
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments. 280 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 136,14
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 264.
Librería: moluna, Greven, Alemania
EUR 92,27
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the current landscape of big data processing and analysis in the cloudDefines the underlying concepts of available analytical tools and techniquesCovers the complete data science workflow in the cloud.
Librería: moluna, Greven, Alemania
EUR 92,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the current landscape of big data processing and analysis in the cloudDefines the underlying concepts of available analytical tools and techniquesCovers the complete data science workflow in the cloud.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 138,33
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 264.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 147,06
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. XIII, 264 89 illus., 62 illus. in color.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 149,33
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. XIII, 264 89 illus., 62 illus. in color.
Librería: preigu, Osnabrück, Alemania
EUR 95,70
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Big Data Processing Using Spark in Cloud | Mamta Mittal (u. a.) | Buch | xiii | Englisch | 2018 | Springer Singapore | EAN 9789811305498 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.