Posted On: Sep 15, 2020
HAQM Kinesis Data Analytics for Apache Flink now supports streaming applications built using Apache Beam Java SDK version 2.23. Apache Beam is an open-source, unified model for defining streaming and batch data processing applications that can be executed across multiple execution engines. This release allows you to build Apache Beam streaming applications in Java and run them using Apache Flink 1.8 on HAQM Kinesis Data Analytics, Apache Spark running on-premises, and other execution engines supported by Apache.
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 build your own Apache Beam pipeline through the Streaming Analytics Workshop. You can learn more about Apache Flink and Apache Beam by visiting their official website.
For HAQM Kinesis Data Analytics region availability, refer to the AWS Region Table.