HAQM Kinesis Data Analytics now supports Python with Apache Flink v1.11

HAQM Kinesis Data Analytics for Apache Flink now supports streaming applications built using Python version 3.7. This enables you to write streaming applications in the Python language and run them using Apache Flink v1.11 on HAQM Kinesis Data Analytics. Apache Flink v1.11 offers support for Python through the Table API, which is a unified, relational API for data processing.

HAQM Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. HAQM Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications. HAQM Kinesis Data Analytics for Apache Flink integrates with HAQM Managed Streaming for Apache Kafka (HAQM MSK), HAQM Kinesis Data Streams, HAQM Elasticsearch Service, HAQM DynamoDB Streams, HAQM S3, custom integrations, and more using built-in connectors.  

You can learn more about HAQM Kinesis Data Analytics for Apache Flink here and get started with Python examples here. You can learn more about what Flink 1.11 offers by visiting their official website.

For HAQM Kinesis Data Analytics region availability, refer to the AWS Region Table.

_{Modified 9/27/2021 – In an effort to ensure a great experience, expired links in this post have been updated or removed from the original post.}