Introducing Amazon Redshift Spectrum: Run Amazon Redshift Queries directly on Datasets as Large as an Exabyte in Amazon S3
Today we announced the general availability of Amazon Redshift Spectrum, a new feature that allows you to run SQL queries against exabytes of data in Amazon Simple Storage Service (Amazon S3). With Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” — without having to load or transform any data. Redshift Spectrum applies sophisticated query optimization, scaling processing across thousands of nodes so results are fast – even with large data sets and complex queries.
Today we announced the general availability of Amazon Redshift Spectrum, a new feature that allows you to run SQL queries against exabytes of data in Amazon Simple Storage Service (Amazon S3). With Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” — without having to load or transform any data. Redshift Spectrum applies sophisticated query optimization, scaling processing across thousands of nodes so results are fast – even with large data sets and complex queries.
Since Redshift Spectrum supports the same SQL syntax of Amazon Redshift, you can run sophisticated queries using the same Business Intelligence (BI) tools you use today. You can also run queries that span both the frequently accessed data stored locally in Amazon Redshift and your full data sets stored cost-effectively in Amazon S3.
Amazon Redshift Spectrum is available in the US East (N. Virginia), US East (Ohio), and US West (Oregon) regions starting with Build 1.0.1294, and will expand to additional regions in the coming months. To learn more, please visit aws.amazon.com/redshift/spectrum.