In this post, we demonstrate how to set up a zero-ETL integration between self-managed databases such as MySQL, PostgreSQL, SQL Server, and Oracle to Amazon Redshift. The transactional data from the source gets replicated in near real time on the destination, which processes analytical queries.
Organizations need real-time access to their data across multiple sources to make informed business decisions. Although extract, transform, and load (ETL) processes have traditionally helped integrate data, they can be complex and time-consuming to maintain. ETL is the process of combining, cleaning, and normalizing data from different sources to prepare it for analytics, AI, and machine learning (ML) workloads. Moving to zero-ETL architecture gives your teams more responsive analytics capabilities while eliminating complex data pipeline maintenance, so insights are available when decisions need to be made.
A self-managed database refers to a database environment where…