Conceptualizing the Processing Model for the AWS Kinesis Data Analytics Service

Finally, you will deploy and run Kinesis Data Analytics applications using the SQL runtime

First, you will get introduced to the Kinesis Data Analytics service for processing and analyzing streams

Next, you will learn how you can deploy a Kinesis Analytics application using the web console

The SQL runtime allows you to run interactive SQL queries to processing input streams, you will learn how to create and use in-application streams and understand the purpose of the stream pump

This will involve setting up the correct roles and policies for your application to access the resources that it needs

When you are finished with this course, you will have the skills and knowledge to create and deploy streaming applications on Kinesis Data Analytics and use connects to work with other AWS services as data sources and data sinks

You will also explore using the Table API in Apache Flink to process streaming data

You will configure your streaming application to read from an enhanced fan-out consumer and write to Kinesis Firehose delivery streams

You will explore the runtimes available that you can use to process your data which includes the Apache Flink runtime, the SQL runtime, and the Apache Beam runtime

You will learn that Kinesis Data Analytics is part of the Kinesis streaming platform along with Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Video streams

You will then deploy a streaming application using the AWS command-line interface