The book opens with an overview of the Spark ecosystem. The book will introduce you to Project Catalyst and Tungsten. You will understand how Memory Management and Binary Processing, Cache-aware Computation, and Code Generation are used to speed thi
Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. Extend your data processing capabilitie
This package provides Python wrapper classes and functions for the JPMML-SparkML library. For the full list of supported Apache Spark ML Estimator and Transformer types, please refer to JPMML-SparkML documentation.
