Book Image

Learning Apache Flink

By : Tanmay Deshpande
Book Image

Learning Apache Flink

By: Tanmay Deshpande

Overview of this book

<p>With the advent of massive computer systems, organizations in different domains generate large amounts of data on a real-time basis. The latest entrant to big data processing, Apache Flink, is designed to process continuous streams of data at a lightning fast pace.</p> <p>This book will be your definitive guide to batch and stream data processing with Apache Flink. The book begins with introducing the Apache Flink ecosystem, setting it up and using the DataSet and DataStream API for processing batch and streaming datasets. Bringing the power of SQL to Flink, this book will then explore the Table API for querying and manipulating data. In the latter half of the book, readers will get to learn the remaining ecosystem of Apache Flink to achieve complex tasks such as event processing, machine learning, and graph processing. The final part of the book would consist of topics such as scaling Flink solutions, performance optimization and integrating Flink with other tools such as ElasticSearch.</p> <p>Whether you want to dive deeper into Apache Flink, or want to investigate how to get more out of this powerful technology, you’ll find everything you need inside.</p>
Table of Contents (17 chapters)
Learning Apache Flink
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

About the Reviewers

Ivan Mushketyk is an experienced software development engineer and certified AWS specialist with a vast experience in different domains, including cloud computing, networking, artificial intelligence, and monitoring. Outside of work he is a big Open Source enthusiast and has made several contributions, most notably to Gatling and Apache Flink. Ivan also enjoys writing for technical blogs such as SitePoint, DZone, and his own blog Brewing Codes.

I would like to thank my wife, Svitlana, for her support, patience, encouragement, and love.

Chiwan Park is a master’s student majoring in data mining in Korea. His research interests include large-scale graph processing and scalable machine learning. He has contributed to big data related open source projects such as Apache Sqoop and Apache Flink for 3 years. He is a committer of Apache Flink since June 2015.

I would like to thank my girlfriend, Sunmi Yoon, and my lovely dog Reo for standing by me. I would like to thank The Flink community for their great contributions. Apache Flink couldn’t be improved without their valuable contributions.