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
About the Author
About the Reviewers
Customer Feedback

Chapter 9. Deploying Flink on Cloud

In the recent times, more and more companies have been investing in Cloud-based solutions and which is justified looking at the cost and efficiency we achieve through the Cloud. Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure are the clear leaders so far in this business. Almost all of them provide big data solutions which are quite handy to use. The cloud provides efficient solutions in a timely manner where people don't need to worry about hardware purchases, networking, and so on.

In this chapter, we are going to see how we can deploy Flink on cloud. We will see a detailed approach to installing and deploying applications on AWS and Google Cloud. So let's get started.