Discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache Flink
About This Book
Who This Book Is For
Big data developers who are looking to process batch and real-time data on distributed systems. Basic knowledge of Hadoop and big data is assumed. Reasonable knowledge of Java or Scala is expected.
What You Will Learn
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.
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.
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.
Style and approach
This book is a comprehensive guide that covers advanced features of the Apache Flink, and communicates them with a practical understanding of the underlying concepts for how, when, and why to use them.
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