1 year ago

https://aws.amazon.com/polly/ When we talk with customers, we hear that they want to be able to harness insights from data in order to make timely, impactful, and actionable business decisions. This requires them to build manual data pipelines spanning across their operational databases, data lakes, streaming data, and data within their warehouse. As a consequence of this complex setup, it can take data engineers weeks or even months to build data ingestion pipelines.

With this new capability, Amazon Redshift automatically loads the files that arrive in an https://aws.amazon.com/s3/ location that you specify into your data warehouse.

You can replicate data from multiple Amazon Aurora databases into the same Amazon Redshift instance to run analytics across multiple applications.