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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

Table of Contents (13) Chapters

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

Chapter 5: Kinesis Firehose

In this chapter, we take an in-depth look at Amazon Kinesis Data Firehose (KDF). This is a fully managed serverless service for the ingestion of large volumes of data from a number of sources and delivery to an ever-increasing number of integrated destinations. It provides an easy way to enable a number of big-data use cases by delivering data (without any coding requirements) to a data lake; a high-capacity and high-performance parallel data warehouse service; a search-and-analytics service; HyperText Transfer Protocol (HTTP) endpoints; and a number of third-party providers. It also allows a number of inline Extract-Transform-Load (ETL) transformations that enable high-velocity and high-throughput transformations, enabling near-real-time use cases. We also take a look at how KDF can be used in the data pipeline described in the chapter on Kinesis Data Streams (KDS), with the SmartCity use case.

The following topics will be covered in this chapter:

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