Building an ETL workflow can never be a fully automated process. Every problem is unique. Data from the source is diverse and dynamic. These multiple data sources require different connectors to bring ...

By converting ETL into an extract-validate-transform-load (EVTL) workflow, you can detect or deal with broken or incorrectly formatted data prior to entering the time-consuming transform and load ...

ETL tools are designed for those tasks. For example, auditors can get clients’ workflow and run tests on it to see if controls are sufficient by using different kinds of input datasets. For auditors ...

These dependencies and sequences are captured in workflows – parallel flows allow parallel execution that can speed up the ETL process. Finally the entire workflow needs to be scheduled. They may have ...

This initial portion of the data integration process can be decomposed into an actionable workflow, which may be automated and repeatable across projects. Specifically, the pre-ETL (extract, transform ...

Centrik, a widely used safety management system, joined TrustFlight in 2021. Safety reporting will now go into the ETL workflow to reduce duplication of data and ease raising safety reports.

Moving the transformation step to the very end of the workflow, extraction and loading is no longer at the mercy of changes to upstream schemas or downstream data models, resulting in a ...

Shipyard launches its powerful new workflow platform to help Data Engineers and Data Scientists manage DataOps at record speeds.