Beginning Apache Spark 3

Hien Luu

ISBN 10: 1484273826 / ISBN 13: 9781484273821

Published by Apress Okt 2021, 2021

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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 LearnMaster the Spark unified data analytics engine and its various componentsWork in tandem to provide a scalable, fault tolerant and performant data processing engineLeverage the user-friendly and flexible programming model to perform simple to complex data analytics using dataframe and Spark SQLDevelop machine learning applications using Spark MLlibManage the machine learning development lifecycle using MLflowWho This Book Is ForData scientists, data engineers and software developers. 456 pp. Englisch.

Seller Inventory # 9781484273821

Bibliographic Details

• Title: Beginning Apache Spark 3
• Publisher: Apress Okt 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 1484273826
• ISBN 13: 9781484273821
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 254W x 178H x 25D millimeters 254 millimeters width by 178 millimeters height by 25 millimeters depth
• Weight: 851 grams

About this title

Synopsis

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

• Master the Spark unified data analytics engine and its various components
• Work in tandem to provide a scalable, fault tolerant and performant data processing engine
• Leverage the user-friendly and flexible programming model to perform simple to complex data analytics using dataframe and Spark SQL
• Develop machine learning applications using Spark MLlib
• Manage the machine learning development lifecycle using MLflow

Who This Book Is For

Data scientists, data engineers and software developers.

About the Author

Hien Luu has extensive experience in designing and building big data applications and machine learning infrastructure. He is particularly passionate about the intersection between big data and machine learning. Hien enjoys working with open source software and has contributed to Apache Pig and Azkaban. Teaching is also one of his passions, and he serves as an instructor at the UCSC Silicon Valley Extension school teaching Apache Spark. He has given presentations at various conferences such as Data+AI Summit, MLOps World, QCon SF, QCon London, Hadoop Summit, and JavaOne.