Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781800565401
Length 314 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (4):
Arrow left icon
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
Arrow right icon
View More author details
Toc

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

Amazon Kinesis Data Streams (KDS)

Amazon KDS was launched in November 2013 and was the first service in the Amazon Kinesis umbrella of services. It is a fully managed, serverless platform for streaming data at any scale. It provides a highly durable, scalable, and elastic service for real-time data streaming that requires no provisioning of any infrastructure and enables users to get started with just a few clicks on the AWS console.

Amazon KDS falls into stage 3 of the 5 stages of enabling stream analytics described in Chapter 1, What Are Data Streams?. There are a number of core requirements of a stream storage platform. They include the following:

  • Data durability: Data, once sent to and received by a stream storage system, needs to be durably stored; there should be no data loss.
  • High parallelism: Provide high throughput and low latency in data retrieval or low overall propagation delay.
  • Read from any point in the stream: The ability to rewind to different points...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime