# [DL.EAC.3] Codify data operations


 **Category:** FOUNDATIONAL 

 Codifying data operations in a DevOps environment extends the infrastructure as code (IaC) principle to data management, which involves treating database schemas, data transformations, and data pipelines as code. Codifying data operations enables other DevOps capabilities including the use of data management pipelines for data lifecycle management, enforcing quality assurance and governance standards, providing auditability of changes, and the ability to rollback changes when necessary. 

 Store database schemas, along with any related procedures, views, and triggers, in version control systems alongside your application code. This enables the ability to track, review, and test schema changes before deploying them to your production environment. To start managing existing data source schemas as code, database migration and event analysis tools like [AWS DMS Schema Conversion Tool](https://aws.amazon.com/dms/schema-conversion-tool/) and [Amazon EventBridge](https://aws.amazon.com/eventbridge/) can help to infer schemas from existing data sources. 

**Related information:**
+  [Converting database schemas using DMS Schema Conversion](https://docs.aws.amazon.com/dms/latest/userguide/CHAP_SchemaConversion.html) 
+  [Creating an Amazon EventBridge schema](https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-schema-create.html) 
+  [Using Amazon RDS Blue/Green Deployments for database updates](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/blue-green-deployments.html)