How to optimize Redshift performance and reduce costs

Amazon Redshift is a fully managed cloud data warehouse used for collecting, storing and analyzing large volumes of data. Over ten thousand companies use it to power their analytical workloads in a data warehouse. By optimizing Redshift performance, users can improve query performance, reduce storage, and save money. The cost of Amazon Redshift depends on the node type chosen, usage of Redshift spectrum, amount of data stored in clusters, and concurrency scaling. Optimization techniques include enabling concurrency/auto-scaling, using sort keys and distribution keys, creating materialized views, using appropriate compression encoding format, and optimizing SQL queries.