❮Reading❯ ➺ Practical Apache Spark ➲ Author Subhashini Chellappan – Bluevapours.co.uk 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 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 SL 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 usageWhat You Will LearnDiscover the functional programming features of ScalaUnderstand the complete architecture of Spark and its componentsIntegrate Apache Spark with Hive and Kafka Use Spark SL DataFrames and Datasets to process data using traditional SL ueriesWork 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.
- 280 pages
- Practical Apache Spark
- Subhashini Chellappan
- 27 June 2015 Subhashini Chellappan