Learning PySpark. Build data-intensive applications locally and deploy at scale using the combine...

Книга "Learning PySpark. Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0". Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark [link] Features Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark [link] 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 guideBook DescriptionApache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark [link] architecture and how to set up a Python environment for [link] will get familiar with the modules available in PySpark. You will...