Angielski
Work with Apache Spark using Scala and R APIs 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 R, and complete the assignments given to get an overall exposure. On completion, you'll have knowledge of the functional programming aspects of Scala and R, 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 and R Integrate Apache Spark with Kafka Use DataFrames, Datasets, and SQL Work with different machine learning concepts and libraries Who This Book Is For Developers and professionals who deal with batch and stream data processing.
