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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

Building video-enabled applications with KVS

Now that we have learned the fundamentals of KVS and KVS-WebRTC, they can be combined to enable video functionality in the SmartCity use case. The architecture shown in the following diagram fully exercises the video capabilities of KVS:

Figure 7.9 – SmartCity monitoring architecture

Throughout this chapter, we have built the component pieces of this architecture. The full solution is available in this book's GitHub repository. The application provides security and situational awareness for the users of the SmartCity bike system. It all starts with a camera pointed at the bike stands and supports the following three capabilities:

Real-time access to the camera via a browser using WebRTC
The ability to pull archival clips based on a timeframe using the AWS CLI to get a media file and using the CLI and VLC to view a stream
Automatic detection of known vandals via facial recognition using...

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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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