Definitive guide to lightning fast data processing for distributed systems with Apache Flink This is Code Repository for the snippets provided in the book - Mastering Flink
- Learn how to build end to end real time analytics projects
- Integrate with existing big data stack and utilize existing infrastructure.
- Build predictive analytics applications using FlinkML
- Use graph library to perform graph querying and search.
With the advent of massive computer systems, organizations in different domains generate large amounts of data at a realtime 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 inside
Tanmay Deshpande is Sr. Big Data Developer working with Schlumberger. He has authored various books before this.
