ELT and ETL are both prominent data architectures. ETL (Extract, Transform, Load) extracts data from different sources, transforms it into the desired format, and then loads it onto the target destination. In contrast, ELT (Extract, Load, Transform) adjusts the order of these steps, extracting data and loading it directly onto the target, such as a data warehouse, before performing the transformation steps using the target’s computing resources.
Regardless of which approach you use, Trifacta’s open and flexible data engineering solution can help you profile, prepare, and pipeline data with a scalable solution across any cloud ecosystem. On both ETL and ELT architectures, data practitioners can use Trifacta to build robust, end-to-end data pipelines quickly and easily using an open, interactive, and collaborative data engineering cloud solution.