Beginning Apache Spark 3: With Dataframe, Spark Sql, Structured Streaming, and Spark Machine Learning Library Contributor(s): Luu, Hien (Author) |
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ISBN: 1484273826 ISBN-13: 9781484273821 Publisher: Apress OUR PRICE: $62.99 Product Type: Paperback Published: October 2021 |
Additional Information |
BISAC Categories: - Computers | Information Theory - Computers | Intelligence (ai) & Semantics - Computers | Databases - General |
Physical Information: 0.93" H x 7" W x 10" (1.74 lbs) 438 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing data in batch and streaming; and the scalable machine learning algorithms and practical utilities to build machine learning applications. Beginning Apache Spark 3 begins by explaining different ways of interacting with Apache Spark, such as Spark Concepts and Architecture, and Spark Unified Stack. Next, it offers an overview of Spark SQL before moving on to its advanced features. It covers tips and techniques for dealing with performance issues, followed by an overview of the structured streaming processing engine. It concludes with a demonstration of how to develop machine learning applications using Spark MLlib and how to manage the machine learning development lifecycle. This book is packed with practical examples and code snippets to help you master concepts and features immediately after they are covered in each section. After reading this book, you will have the knowledge required to build your own big data pipelines, applications, and machine learning applications. What You Will Learn
Who This Book Is For Data scientists, data engineers and software developers. |