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Scalable Data Streaming with Amazon Kinesis

You're reading from Scalable Data Streaming with Amazon Kinesis

Product type Book

Published in Mar 2021

Publisher Packt

ISBN-13 9781800565401

Pages 314 pages

Edition 1st Edition

Languages

Concepts

Authors (4):

Tarik Makota

Brian Maguire

Danny Gagne

Rajeev Chakrabarti

View More author details

Table of Contents (13) Chapters

Preface

1. Section 1: Introduction to Data Streaming and Amazon Kinesis

2. Chapter 1: What Are Data Streams?

3. Chapter 2: Messaging and Data Streaming in AWS

4. Chapter 3: The SmartCity Bike-Sharing Service

5. Section 2: Deep Dive into Kinesis

6. Chapter 4: Kinesis Data Streams

7. Chapter 5: Kinesis Firehose

8. Chapter 6: Kinesis Data Analytics

9. Chapter 7: Amazon Kinesis Video Streams

10. Section 3: Integrations

11. Chapter 8: Kinesis Integrations

12. Other Books You May Enjoy

Building bike ride analytic applications

Let's put the described SwipeBike and KDA into action. As a first step, we will simulate bike trips; bikes being rented and returned. We have provided code that will do this for you. We will then build analytics applications using KDA SQL and KDA Flink. These applications will functionally be the same and will analyze the data for bike trips.

Setting up a producer application

If you haven't installed prerequisites, please go to the Technical requirements section of this chapter and install the prerequisites. Using AWS Cloud Deployment Toolkit (CDK), we will create the infrastructure required, including deploying the producer application that we will use in this chapter. If you haven't done so already, go ahead and pull down the required CDK code from the GitHub repository:

git clone https://github.com/tmakota/kinesis-book.git

Cost

If you chose to do the exercises in this chapter, please note that you will incur...

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Authors (4)

Tarik Makota

Tarik Makota hails from a small town in Bosnia. He is a Principal Solutions Architect with Amazon WebServices, builder, writer, and the self-proclaimed best fly fisherman at AWS. Never a perfect student, he managed to earn a Master of Science in Software Development and Management from RIT. When he is not “doing the cloud” or writing, Tarik spends most of his time flying fishing to pursue slippery trout. He feeds his addiction by spending summers in Montana. Tarik lives in New Jersey with his family, Mersiha, Hana, and two exceptionally perfect dogs.

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See other products by Tarik Makota

Brian Maguire

Brian Maguire is a Solution Architect at Amazon Web Services, where he is focused on helping customers build solutions in the cloud. He is a technologist, writer, teacher, and student who loves learning. Brian lives in New Hope, Pennsylvania, with his family Lorna, Ciara, Chris, and several cats.

See other products by Brian Maguire

Danny Gagne

Danny Gagne is a Solutions Architect at Amazon Web Services. He has extensive experience in the design and implementation of large-scale high-performance analysis systems. He lives in New York City.

See other products by Danny Gagne

Rajeev Chakrabarti

Rajeev Chakrabarti is a Principal Developer Advocate with the Amazon Kinesis and the Amazon MSK team. He has worked for many years in the Big Data and Data Streaming space. Before joining the Amazon Kinesis team, he was a streaming Specialist Solution Architect helping customers build streaming pipelines. He lives in New Jersey with his family, Shaifalee and Anushka.

See other products by Rajeev Chakrabarti

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