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Scalable Data Streaming with Amazon Kinesis

You're reading from Scalable Data Streaming with Amazon Kinesis Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis

Product type Paperback

Published in Mar 2021

Publisher Packt

ISBN-13 9781800565401

Length 314 pages

Edition 1st Edition

Languages

Python

Tools

Amazon Kinesis

Concepts

Data Analysis

Authors (4):

Rajeev Chakrabarti

Tarik Makota

Brian Maguire

Danny Gagne

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? FREE CHAPTER

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

In this chapter, we reviewed the features of Amazon KDF and how it can be used in data pipelines in common multi-account enterprise architectures. We saw how to do encryption, networking, authentication, and authorization with multiple Amazon and third-party services and software. We saw how Amazon KDF can be an integral part of any data analytics pipeline or data-lake architecture with its ability to easily ingest data from other AWS services including AWS IoT, Amazon CloudWatch Logs, Amazon CloudWatch Events, and KDS, do inline transformations using Lambda functions, and deliver to Amazon S3, Amazon Redshift, Amazon Elasticsearch, HTTP endpoints, and other third-party destinations. We also looked at the SmartCity bikes example and saw how to deliver records to Amazon S3 in a columnar Parquet format. It should now be clear how you can configure Amazon KDF for your use cases.

In the next chapter, we will look at other services under the Kinesis umbrella of services.

...

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Authors (4)

Makota

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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Chakrabarti

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 Chakrabarti

Gagne

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 Gagne

Brian Maguire

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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