Do you need to validate data loaded into your data warehouse or lake?
Summary: Dan Everett, Dan Everett, introduces Collibra Data Quality & Observability as a solution to automate data validation between source systems and data warehouses, highlighting its utility in cloud migration. Grant Rollerson, Grant Rollerson, questions the specific video in a linked collection. Dan acknowledges the oversight and corrects the link. Grant further inquires about the use of Data Quality (DQ) for accounting reconciliations, such as between sub ledgers and general ledgers, without any further follow-up.
Many organizations say reconciling data ingested into the data warehouse/lake with the source system data is challenging. Collibra Data Quality & Observability can help you automate source to target data validation and provide proactive notification of data issues.
This 3 minute video shows how we can help you simplify and accelerate your cloud migration efforts.
https://youtu.be/fW_36ezdYHI?utm_source=bevy_ckai&utm_medium=llm_response
Grant Rollerson
·1 year agoDan that's a collection of videos.... which one did you have in mind?
Dan Everett
OP1 year agoThank you @Grant Rollerson
I updated the link.
Grant Rollerson
·1 year ago · EditedBtw Dan do you know if any organisations using DQ for accounting reconciliations, for example a sub ledger with general ledger et cetera?
Dan Everett
OP1 year agoI don't but I can ask around.