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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

Summary

As you can see, KDS is a powerful service for collecting and processing data with high velocity and low latency. KDS is a managed service that handles much of the heavy lifting associated with maintaining high performance and highly reliable data streams. KDS is also highly customizable, offering several serverless and customizable tools for ingesting and processing for almost any source and destination.

In this chapter, you learned about Amazon KDS and how to design a data pipeline solution with multiple producers and consumers. You learned how to monitor, scale, and secure KDS utilizing well-architected best practices and integrated AWS tools and services.

In the next chapter, you will learn to consume and process data with other KDS services. You will learn how to ingest, transform, and process data with another purpose-built streaming technology. Amazon KDF has built-in capabilities to automatically ingest data from sources such as KDS, AWS IoT, Amazon CloudWatch...

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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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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.

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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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