"Sinopsis" puede pertenecer a otra edición de este libro.
Subhashini Chellappan is a technology enthusiast with expertise in the big data and cloud space. She has rich experience in both academia and the software industry. Her areas of interest and expertise are centered on business intelligence, big data analytics and cloud computing.
Dharanitharan Ganesan is a senior analyst with five years of experience in IT. He has a high level of exposure and experience in big data – Apache Hadoop, Apache Spark and various Hadoop ecosystem components. He has a proven track record of improving efficiency and productivity through the automation of various routine and administrative functions in business intelligence and big data technologies. His areas of interest and expertise are centered on machine learning algorithms, statistical modelling and predictive analysis.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Destinos, gastos y plazos de envíoLibrería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. Practical Apache Spark: Using the Scala API 1.15. Book. Nº de ref. del artículo: BBS-9781484236512
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Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 620. Nº de ref. del artículo: C9781484236512
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Condición: New. In English. Nº de ref. del artículo: ria9781484236512_new
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 280 pages. 10.00x7.00x0.75 inches. In Stock. Nº de ref. del artículo: x-1484236513
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains extensive coverage of machine-learning algorithms with real-time code implementation using Spark MLibExplains the SparkR real-time module with code implementationCovers Spark Streaming a. Nº de ref. del artículo: 218624983
Cantidad disponible: Más de 20 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You'll follow a learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure.On completion, you'll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You'll also become familiar with machine learning algorithms with real-time usage.What You Will LearnDiscover the functional programming features of ScalaUnderstand the complete architecture of Spark and itscomponentsIntegrate Apache Spark with Hive and KafkaUse Spark SQL, DataFrames, and Datasets to process data using traditional SQL queriesWork with different machine learning concepts and libraries using Spark's MLlib packagesWho This Book Is ForDevelopers and professionals who deal with batch and stream data processing. 296 pp. Englisch. Nº de ref. del artículo: 9781484236512
Cantidad disponible: 2 disponibles
Librería: Chiron Media, Wallingford, Reino Unido
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9781484236512
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You'll follow a learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure.On completion, you'll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You'll also become familiar with machine learning algorithms with real-time usage.What You Will LearnDiscover the functional programming features of ScalaUnderstand the completearchitecture of Spark and itscomponentsIntegrate Apache Spark with Hive and KafkaUse Spark SQL, DataFrames, and Datasets to process data using traditional SQL queriesWork with different machine learning concepts and libraries using Spark's MLlib packagesWho This Book Is ForDevelopers and professionals who deal with batch and stream data processing. Nº de ref. del artículo: 9781484236512
Cantidad disponible: 1 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26376272914
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand. Nº de ref. del artículo: 370853837
Cantidad disponible: 4 disponibles