AWS re:Invent 2019: How to scale data analytics w/ Amazon Redshift, ft. Warner Bros. (ANT335-R1)

Published on Dec 04, 2019

Modern cloud data warehouses must be able to scale up and out to handle variable analytics workloads. In this session, we discuss Amazon Redshift's ability to deliver top performance at the lowest and most predictable cost for any use case or workload. Learn how Amazon Redshift handles small datasets with large bursts of query activity, large datasets with complex queries, a mix of frequently queried data and infrequently accessed historical data, a mix of open file formats in an Amazon S3 data lake and structured data in Amazon Redshift, and more. Additionally, Warner Brothers discusses how it has seen improvements to its analytics performance with Amazon Redshift.