Automate data loading from your database into Amazon Redshift using AWS Database Migration Service (DMS), AWS Step Functions, and the Redshift Data API
Big Data Blog
This article describes how to automate the extract and load process from relational databases into Amazon Redshift using AWS Database Migration Service (AWS DMS), AWS Step Functions, and the Redshift Data API. It covers a full data load scenario where all data is reloaded into Redshift.
Specifically, the article covers:
- Creating an AWS DMS migration task to replicate full data load from a SQL Server source to a Redshift staging area
- Creating Redshift tables and stored procedures for transforming and loading data
- Creating a Step Functions state machine to orchestrate the ETL process on Redshift using the Data API
- Configuring an EventBridge rule to invoke the Step Functions workflow when AWS DMS full load is completed
- Testing the solution end-to-end
- Conclusion highlighting the capabilities of automating Redshift ETL using the Data API, Step Functions, and other AWS services
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