Mastering Apache Spark 2.x: Advanced techniques in complex Big Data processing, streaming analytics and machine learning, Edition 2

• [*]Master the art of real-time Big Data processing using Apache Spark 2.x
• [*]Perform machine learning, deep learning and streaming data analytics by extending the most up-to-date functionalities of Apache Spark
• [*]An advanced guide with a unique combination of tips, instructions and practical examples on using Apache Spark effectively

• Get to grips with the newly introduced features in Apache Spark 2.x
• Perform highly optimised unified batch and real-time data processing using
• SparkSQL and Structured Streaming
• Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames
• Perform advanced machine learning and deep learning with Spark MLlib, SparkML, SystemML, H2O and DeepLearning4J
• Learn how specific parameter settings affect overall performance of an
• Apache Spark cluster
• Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud

If you are an intermediate-level Spark developer looking to master the advanced capabilities and use-cases of Apache Spark 2.x, this book is for you. Big Data professionals who wish to know how to integrate and use the features of Apache Spark to build a strong Big Data pipeline will also find this book to be a useful resource. A fundamental knowledge of Apache Spark and the Scala programming language is assumed.