Amazon Kinesis Data Analytics for Apache Flink and Studio
Amazon Kinesis Data Analytics for SQL
API reference: Describes all the API operations for Amazon Kinesis Data Analytics in detail. It also provides sample requests, responses, and errors for the supported web services protocols: HTML | PDF
Selected event sessions
Amazon Kinesis Data Analytics now supports Apache Flink-based stream processing applications, in addition to the previously supported SQL. Now, you can use your own Java or Scala code in Amazon Kinesis Data Analytics to build sophisticated streaming applications.
This video shows you how Amazon Kinesis Data Analytics Studio simplifies querying data streams using SQL, Python, or Scala. A managed Apache Zeppelin notebook-based development environment and stream processing powered by Apache Flink lets you quickly analyze streaming data from a variety of sources including Amazon Kinesis Data Streams and Amazon Managed Streaming for Kafka (Amazon MSK).
A presentation at the Flink Forward San Francisco 2020 event that describes how Amazon Kinesis Data Analytics monitors your Apache Flink applications for availability. This includes how to automatically categorize errors and intervening to restore application availability.
Our customer Autodesk joins us to describe their architecture and best practices for real-time metrics generation and analytics using Amazon Kinesis and Amazon Elasticsearch Service.
We have a rich set of blog articles that provide use case and best practices guidance to help you get the most out of Amazon Kinesis. Access our full list of blog articles through the resources below.
Get started with Amazon Kinesis Data Analytics
Instantly get access to the AWS Free Tier.
Build your streaming application from the Amazon Kinesis Data Analytics console.