What is an ETL Framework?
An ETL Framework is a defined set of standards and practices designed to efficiently and effectively move data into and out of a data warehouse. The ETL Framework provides the following:
- Directions on how to configure servers to support the various framework components,
- Strict protocols on how data moves into and out of the system,
- Sample code and templates for various database objects and use cases,
- Mechanisms that allow for ease of code deployment, and
- Mechanisms for signals and systems feedback error reporting as well as volumetrics for the overall health of the load.
Why do I need an ETL Framework?
Likely, you will probably have more than one person touching your data architecture. Everyone has an opinion about how it should be done, and when one chief architect leaves, the next one will implement his or her preferred solution. You also may have various teams working data and creating products and applications; they also have their own way of doing things. Eventually, you wind up with an unmanageable Rube Goldberg machine, and you will spend so much time on maintenance issues, it will be next to impossible to have time to create anything new. Putting out the small fires of ongoing maintenance issues is NOT a good use of time for your data engineers. They need to be creating cool things that generate revenue or cut costs, not sitting there racking up costs.
Having an ETL framework prevents the chaos. By having a strict set of rules and consistent governance, you can wind up saving the organization millions of dollars in wasted developer time.
Our ELT Framework was built to handle specific challenges seen time and again in organizations:
- Getting rid of the need to alter code before deploying to production, a bad practice that is allowed in far too many organizations,
- Preventing clunky, unmanageable data systems that waste time and money, and
- Preventing poor and downright incorrect ETL methodology.
Ready to save yourself and your organization time, money, and headaches?