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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

Discovering Amazon Kinesis Data Streams

Amazon KDS is a service composed of streams, shards, and records. A data stream is a logical container of shards. A data stream continuously ingests data from many data sources. Each stream has one or more shards where records are grouped and stored.

Sharding allows the stream to handle more records, while record order is preserved within each shard. Records are the unit of data in the Kinesis data stream, composed of a sequence number, a partition key, and a data blob. KDS segregates the data records belonging to a stream into multiple shards. When you have multiple shards, you can use a partition key to group data on specific shards. Kinesis uses the partition key to assign records to an individual shard. Records are accessed from the stream with the partition level sequence number. Data can be ingested and processed from many sources, such as the listed applications in the diagram:

Figure 4.1 – A stream has...

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