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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
Authors (4):
Tarik Makota Tarik Makota
Profile icon Tarik Makota
Brian Maguire Brian Maguire
Profile icon Brian Maguire
Danny Gagne Danny Gagne
Profile icon Danny Gagne
Rajeev Chakrabarti Rajeev Chakrabarti
Profile icon Rajeev Chakrabarti
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? 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

Understanding delivery stream destinations

Delivery stream destinations are where KDF has the ability to land or send the ingested data. This is how KDF packages stream storage, data processing, and delivery into one neat tool that requires no code. KDF supports a number of destinations, and the KDF service has been adding additional destinations over time. Now, let's take a detailed look at the supported destinations.

Amazon S3

The first—and most popular—destination is Amazon S3. S3 is a serverless object-storage service that is highly scalable, highly durable, and highly available, and provides industry-leading performance and security features. It is designed for 99.999999999% (or 11 9s) of durability and provides storage for almost any amount of data. It provides the ideal storage at an affordable price point for use cases such as a data lake, and hence is an ideal destination for KDF. The most popular use case for using KDF is to populate a data lake that...

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