Developer Guide for Apache Flink Applications: HTML | PDF

Developer Guide for Studio, the easiest way to build Apache Flink applications in SQL, Python, Scala in a notebook interface: HTML | PDF

Developer Guide for Apache Beam Applications (Java): HTML | PDF

Amazon Kinesis Data Analytics for SQL

Developer Guide: HTML | PDF

SQL Reference: Describes the SQL language supported by Amazon Kinesis Data Analytics for SQL. HTML | PDF

General resources

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


AWS CLI and AWS CLI reference for Amazon Kinesis Data Analytics

Selected event sessions

Amazon Kinesis Data Analytics for Apache Flink applications is now generally available (14:13)

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.

Query Your Data Streams in Real Time With Kinesis Data Analytics Studio (13:22)

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).

Lesson learned on Apache Flink application availability (34:46)

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.

AWS re:Invent 2018: Architecting for real-time insights with Amazon Kinesis ANT310 (50:28)

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.

Blog posts

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.

No blog posts have been found at this time. Please see the AWS Blog for other resources.

Read more Amazon Kinesis articles on the AWS News Blog.

Learn about best practices, feature capabilities, and customer use cases on the AWS Big Data Blog.

Read more blog articles about Amazon Kinesis on the AWS Databases Blog.

Get started with Amazon Kinesis Data Analytics

Sign up for an AWS account
Sign up for an AWS account

Instantly get access to the AWS Free Tier.

Review the getting started guide
Review the getting-started guide

Learn how to use Amazon Kinesis Data Analytics in the step-by-step guide for Apache Flink and Amazon Kinesis Data Analytics Studio.

Start building in the console
Start building streaming applications

Build your streaming application from the Amazon Kinesis Data Analytics console.