Amazon Kinesis Data Analytics now supports Apache Flink 1.8
You can now build and run streaming applications using Apache Flink 1.8 in Amazon Kinesis Data Analytics. Apache Flink 1.8 capabilities include exactly once connectors for Amazon S3 and Apache Kafka, improvements to the Amazon Kinesis Data Streams connector, a new Amazon DynamoDB streams connector, eight new SQL functions, SQL pattern detection, improvements to recovery speed and memory usage, and more.
You can now build and run streaming applications using Apache Flink 1.8 in Amazon Kinesis Data Analytics. Apache Flink 1.8 capabilities include exactly once connectors for Amazon S3 and Apache Kafka, improvements to the Amazon Kinesis Data Streams connector, a new Amazon DynamoDB streams connector, eight new SQL functions, SQL pattern detection, improvements to recovery speed and memory usage, and more.
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. With Amazon Kinesis Data Analytics, SQL users and Java developers (leveraging Apache Flink) build streaming applications to transform and analyze data in real time. This release upgrades the Apache Flink runtime of Amazon Kinesis Data Analytics from 1.6 to 1.8. You can learn more about what is included in the Apache Flink releases in the release announcements for Apache Flink 1.8.0 and Apache Flink 1.7.0. Apache Flink 1.8 supports prior Apache Flink versions described in the Compatibility Table in the Apache Flink documentation.
For a list of where Amazon Kinesis Data Analytics is available, please see the AWS Region Table.
You can learn about Amazon Kinesis Data Analytics in the Developer Guide for Java Applications.