Selected event sessions
Amazon Kinesis Data Analytics now supports Java-based stream processing applications, in addition to the previously supported SQL. Now, you can use your own Java code in Amazon Kinesis Data Analytics to build sophisticated streaming applications.
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.
In this session, we discuss how to stream your VPC flow logs to Amazon Kinesis Data Streams and identify anomalies to improve security monitoring using a built-in machine learning algorithm in Amazon Kinesis Data Analytics.
In this session, we show you how to build an entire stream processing pipeline to collect, ingest, process, and emit streaming data using Amazon Kinesis Data Analytics, Amazon Kinesis Data Firehose, and Amazon Kinesis Data Streams.
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.