Articles liés à Practical Apache Spark: Using the Scala API
Synopsis
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 Learn
- Discover the functional programming features of Scala
- Understand the completearchitecture of Spark and its components
- Integrate Apache Spark with Hive and Kafka
- Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries
- Work with different machine learning concepts and libraries using Spark's MLlib packages
Who This Book Is For
Developers and professionals who deal with batch and stream data processing.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Practical Apache Spark
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Etat : 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. N° de réf. du vendeur 218624983
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9781484236512
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9781484236512
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Practical Apache Spark
Edité par
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ISBN 10 : 1484236513
ISBN 13 : 9781484236512
Neuf
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Taschenbuch. Etat : Neu. Neuware -On completion, yoüll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. Yoüll also become familiar with machine learning algorithms with real-time usage.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 296 pp. Englisch. N° de réf. du vendeur 9781484236512
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Practical Apache Spark: Using The Scala Api
Edité par
Apress, Incorporated, 2018
ISBN 10 : 1484236513
ISBN 13 : 9781484236512
Neuf
Couverture souple
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