Combine the power of Apache Spark and Python to build effective big data applications Key Features Perform effective data processing, machine learning, and anal

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book Learn why and how you can effici

Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs Key FeaturesW

Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look u

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re