manuzhang commented on code in PR #13977: URL: https://github.com/apache/iceberg/pull/13977#discussion_r2346260353
########## docs/docs/aws.md: ########## @@ -809,11 +809,11 @@ Search the [Iceberg blogs](../../blogs.md) page for tutorials around running Ice ### Amazon Kinesis -[Amazon Kinesis Data Analytics](https://aws.amazon.com/about-aws/whats-new/2019/11/you-can-now-run-fully-managed-apache-flink-applications-with-apache-kafka/) provides a platform +[Amazon Kinesis Data Analytics](https://aws.amazon.com/about-aws/whats-new/2019/11/you-can-now-run-fully-managed-apache-flink-applications-with-apache-kafka/) provides a platform to run fully managed Apache Flink applications. You can include Iceberg in your application Jar and run it in the platform. ### AWS Redshift [AWS Redshift Spectrum or Redshift Serverless](https://docs.aws.amazon.com/redshift/latest/dg/querying-iceberg.html) supports querying Apache Iceberg tables cataloged in the AWS Glue Data Catalog. ### Amazon Data Firehose -You can use [Firehose](https://docs.aws.amazon.com/firehose/latest/dev/apache-iceberg-destination.html) to directly deliver streaming data to Apache Iceberg Tables in Amazon S3. With this feature, you can route records from a single stream into different Apache Iceberg Tables, and automatically apply insert, update, and delete operations to records in the Apache Iceberg Tables. This feature requires using the AWS Glue Data Catalog. \ No newline at end of file +You can use [Firehose](https://docs.aws.amazon.com/firehose/latest/dev/apache-iceberg-destination.html) to directly deliver streaming data to Apache Iceberg Tables in Amazon S3. With this feature, you can route records from a single stream into different Apache Iceberg Tables, and automatically apply insert, update, and delete operations to records in the Apache Iceberg Tables. This feature requires using the AWS Glue Data Catalog. Review Comment: `MD047: Each file should end with a single newline character.` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
