What this book covers
Chapter 1, What Are Data Streams?, covers core streaming concepts so that you will have a detailed understanding of their application in distributed systems.
Chapter 2, Messaging and Data Streaming in AWS, takes a brief look at the ecosystem of AWS services in the messaging space. After reading this chapter, you will have a good understanding of the various services, be able to differentiate them, and understand the strengths of each service.
Chapter 3, The SmartCity Bike-Sharing Service, reviews the existing bike-sharing application and how the city plans to modernize it. This chapter will provide the background information for the examples used throughout the book.
Chapter 4, Kinesis Data Streams, teaches concepts and capabilities, common deployment patterns, monitoring and scaling, and how to secure KDS. We will step through a data streaming solution that will ingest, process, and feed data from multiple SmartCity data systems.
Chapter 5, Kinesis Firehose, teaches the concepts, common deployment patterns, monitoring and scaling, and security in KFH.
Chapter 6, Kinesis Data Analytics, covers the concepts and capabilities, approaches for common deployment patterns, monitoring and scaling, and security in KDA. You will learn how real-time streaming data can be queried like a database with SQL or code.
Chapter 7, Amazon Kinesis Video Streams, explores the concepts, monitoring and scaling, security, and deployment patterns for real-time communication and data ingestion. We will step through a solution that will provide real-time access to a video stream and ingest video data for the SmartCity data system.
Chapter 8, Kinesis Integrations, reviews how to integrate Kinesis with several Amazon services, such as Amazon Redshift, Amazon DynamoDB, AWS Glue, Amazon Aurora, Amazon Athena, and other third-party services such as Splunk. We will integrate a wide variety of services to create a serverless data lake.
