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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

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781800565401
Length 314 pages
Edition 1st Edition
Languages
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Authors (4):
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Rajeev Chakrabarti Rajeev Chakrabarti
Author Profile Icon Rajeev Chakrabarti
Rajeev Chakrabarti
Tarik Makota Tarik Makota
Author Profile Icon Tarik Makota
Tarik Makota
Brian Maguire Brian Maguire
Author Profile Icon Brian Maguire
Brian Maguire
Danny Gagne Danny Gagne
Author Profile Icon Danny Gagne
Danny Gagne
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Table of Contents (13) Chapters Close

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

Chapter 4: Kinesis Data Streams

In the previous chapter, you learned about several purpose-built data streaming and message queueing technologies. When designing a data streaming solution, we select the best purpose-built technology that meets business requirements. When an application needs to offer real-time performance from many different sources, Amazon KDS (KDS) is often the best choice.

Amazon KDS is a managed, massively scalable, durable, and low latency real-time data streaming service used by many of the largest data pipelines in the cloud. With KDS, you can collect large volumes of data per second from many sources, including connected devices, application logs and events, financial transactions, social media, marketing events, and geolocation tracking feeds. KDS enables you to build custom applications that process and analyze data from these sources with the most flexibility. You want to use KDS when you need to deliver near real-time sub-second performance.

When...

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