AWS Big Data Blog
Author: Harshida Patel
Simplify access management with Amazon Redshift and AWS Lake Formation for users in an External Identity Provider
Many organizations use identity providers (IdPs) to authenticate users, manage their attributes, and group memberships for secure, efficient, and centralized identity management. You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to […]
Achieve fine-grained data security with row-level access control in Amazon Redshift
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. One of the challenges with security is that enterprises want to provide fine-grained access control at the row level for sensitive data. You […]
Optimize your analytical workloads using the automatic query rewrite feature of Amazon Redshift materialized views
Amazon Redshift materialized views enable you to significantly improve performance of complex queries that are frequently run as part of your extract, load, and transform (ELT), business intelligence (BI), or dashboarding applications. Materialized views precompute and store the result sets of the SQL query in the view definition. Materialized views speed up data access, because […]
Federate Amazon Redshift access with Microsoft Azure AD single sign-on
April 2024: This post was reviewed for accuracy. December 2022: This post was reviewed and updated for accuracy. February 2nd, 2022: This blog was updated by Kay Lerch. Recently, we helped a large enterprise customer who was building their data warehouse on Amazon Redshift, using Microsoft Azure Active Directory (Azure AD) as a corporate directory. […]