DevOps Articles

Introducing Amazon Redshift Serverless – Run Analytics At Any Scale Without

https://aws.amazon.com/polly/ We’re seeing the use of data analytics expanding among new audiences within organizations, for example with users like developers and line of business analysts who don’t have the expertise or the time to manage a traditional data warehouse. Also, some customers have variable workloads with unpredictable spikes, and it can be very difficult for them to constantly manage capacity. With https://aws.amazon.com/redshift/, you use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.

With the new serverless option, you can continue to query data in other AWS data stores, such as https://aws.amazon.com/s3/ data lakes and https://aws.amazon.com/rds/aurora/ and https://aws.amazon.com/rds/ databases.

The configuration of the serverless endpoint will be shared by all my serverless data warehouses in the same AWS account and Region.