Take a journey toward discovering, learning, and using Apache Spark 3. 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.
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 Beginning Apache Spark 3 book, you will have the knowledge required to build your own big data pipelines, applications, and machine learning applications.
Huge Discounts Available! Your email address will not be published. Throughout, the authors pay adequate attention to both Windows 98 and Windows NT. They distinguish their work with excellent NetWare coverage—a valuable inclusion, since so many existing networks are based on Novell technology. However, this extra information makes this book a fine study aid for the Microsoft Networking Essentials certification exam Please contact the content providers to delete files if any and email us, we'll remove relevant links or contents immediately.
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