Go ab initio , or go home.

Ab initio data quality is painful because it forces you to say

Don't wait until data hits the Warehouse to check its quality. Implement validation logic at the . By catching errors at the source, you prevent "garbage in, garbage out" scenarios and save on processing costs. Automated Reconciliation

Replace NULL with explicit semantics. Use -999 for "offline," -9999 for "out of range," or better—split the column into value and value_metadata_flag .

We have it backwards.

An ab initio system ensures that:

Does the "Status" code in the Source system match the "Status" code in the Warehouse?

Ab Initio Data Quality [new] -

Go ab initio , or go home.

Ab initio data quality is painful because it forces you to say ab initio data quality

Don't wait until data hits the Warehouse to check its quality. Implement validation logic at the . By catching errors at the source, you prevent "garbage in, garbage out" scenarios and save on processing costs. Automated Reconciliation Go ab initio , or go home

Replace NULL with explicit semantics. Use -999 for "offline," -9999 for "out of range," or better—split the column into value and value_metadata_flag . Go ab initio

We have it backwards.

An ab initio system ensures that:

Does the "Status" code in the Source system match the "Status" code in the Warehouse?