Practical Apache Spark Using by Chellappan Subhashini (17 results)
Practical Apache Spark : Using Scala and R APIs
Dasa, Bharat, Chellappan, Subhashini, Ganesan, Dharanitharan
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Paperback or Softback. Condition: New. Practical Apache Spark: Using the Scala API. Book.
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Practical Apache Spark: Using the Scala Api
Chellappan, Subhashini/ Dasa, Bharat/ Ganesan, Dharanitharan
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Taschenbuch. Condition: Neu. Practical Apache Spark | Using the Scala API | Subhashini Chellappan (u. a.) | Taschenbuch | xvi | Englisch | 2018 | Apress | EAN 9781484236512 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]co…m | Anbieter: preigu.
- Softcover
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Taschenbuch. Condition: 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 MLi…b, 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.
