Learning PySpark: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 Contributor(s): Lee, Denny (Author), Drabas, Tomasz (Author) |
|
ISBN: 1786463709 ISBN-13: 9781786463708 Publisher: Packt Publishing OUR PRICE: $46.54 Product Type: Paperback - Other Formats Published: March 2017 |
Additional Information |
BISAC Categories: - Computers | Databases - Data Mining - Computers | Data Visualization |
Physical Information: 0.58" H x 7.52" W x 9.25" (1.05 lbs) 274 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 Key Features
Book Description Apache 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 2.0 architecture and how to set up a Python environment for Spark. What you will learn
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 best out of the book. Familiarity with Spark would be useful, but is not mandatory. |