This book is a step-by-step guide for learning how to use Spark for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, MLlib, and Spark ML. Big Data Analytics with Spark shows you how to use Spark and leverage its easy-to-use features to increase your productivity. You learn to perform fast data analysis using its in-memory caching and advanced execution engine, employ in-memory computing capabilities for building high-performance machine learning and low-latency interactive analytics applications, and much more.

本书是学习如何将Spark用于不同类型的大数据分析项目的分步指南，包括批量、交互式、图形和流数据分析以及机器学习。它涵盖Spark core及其附加库，包括Spark SQL、Spark Streaming、GraphX、MLlib和Spark ML。Spark的大数据分析向您展示了如何使用Spark并利用其易于使用的功能来提高您的生产率。您将学习使用其内存缓存和高级执行引擎执行快速数据分析，利用内存计算功能构建高性能机器学习和低延迟交互式分析应用程序，等等。