Amazon Redshift’s Top Performance Features and Latest Capabilities
Discover Redshift’s top performance features and latest capabilities to streamline your data analysis processes
Announced in November 2012, Amazon Redshift, according to AWS, is a fully managed cloud data warehouse service designed to quickly and cost-effectively analyze large datasets using existing SQL-based tools and business intelligence applications. With optimized performance for datasets ranging from hundreds of gigabytes to petabyte-scale, Redshift offers fast query speeds regardless of data size.
By leveraging Amazon Redshift’s advanced performance features and latest capabilities, users can boost their cluster’s performance, streamline administrative tasks, and reduce cloud expenses. In this post, we’ll highlight some of Redshift’s key performance features and recently added capabilities, each with links to resources where you can learn more.
Performance Features
Amazon Redshift boasts a variety of performance features, including the following:
- Massively Parallel Processing (MPP): MPP can distribute queries across multiple nodes and perform queries in parallel for faster processing. Multiple compute nodes handle all query processing…
