Amazon Kinesis Data Firehose Announces Support for Custom Amazon S3 Prefixes
Amazon Kinesis Data Firehose today announced support for custom Amazon S3 prefixes allowing customers more flexibility when configuring S3 paths for data delivery. This new capability enables customers to simplify and accelerate ETL (Extract Transform Load) workflows and to enable data partitions for faster query performance.
Amazon Kinesis Data Firehose today announced support for custom Amazon S3 prefixes allowing customers more flexibility when configuring S3 paths for data delivery. This new capability enables customers to simplify and accelerate ETL (Extract Transform Load) workflows and to enable data partitions for faster query performance.
Now customers can customize the Amazon S3 prefix using the Apache Hive format and timestamp formats (supported by the Java DateTimeFormatter class).
To get started with Amazon Kinesis Data Firehose, visit the console and the developer guide.
For a list of regions where Amazon Kinesis Data Firehose is available, see the AWS Region Table.