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 efficiently use Python to process data and build machine learning models in Apache Spark 2.0 - Develop and deploy efficient, scalable real-time Spark solutions - Take your understanding of using Spark with Python to the next level with this jump start guide Who This Book Is For If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the...
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 yo...
This cookbook presents recipes on leveraging the power of Python and putting it to use in the Apache Spark ecosystem. By the end of this book, you will be able to solve any problem associated with building effective, data-intensive applications and performing machine learning and structured streaming using PySpark.
This cookbook presents recipes on leveraging the power of Python and putting it to use in the Apache Spark ecosystem. By the end of this book, you wil...
Updated to emphasize new features in Spark 2.4., this second edition shows data engineers and scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine-learning algorithms.
Updated to emphasize new features in Spark 2.4., this second edition shows data engineers and scientists why structure and unification in Spark matter...