ab initio data quality

Ab Initio Data Quality ❲PLUS❳

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Change is allowed. Silent change is not. Your first principle is: Schema version is part of the data identifier. events_v2.parquet is a different entity than events_v1.parquet . Never mutate; deprecate.

Audit your warehouse. Pick one critical table. Enforce NOT NULL on every single column. If you truly need a missing value, use a sentinel row (e.g., id = 0 , name = "UNKNOWN" ). You will be shocked how many bugs disappear.

Stop cleaning the swamp. Stop building the bridge. Stop the garbage at the gate.

If you work in data long enough, you’ve heard the mantra: “Garbage In, Garbage Out.” We all nod in agreement. Then, we build complex pipelines with 47 validation steps, six months of cleaning scripts, and a "trust but verify" dashboard that nobody actually reads.

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ab initio data quality

Ab Initio Data Quality ❲PLUS❳

Change is allowed. Silent change is not. Your first principle is: Schema version is part of the data identifier. events_v2.parquet is a different entity than events_v1.parquet . Never mutate; deprecate.

Audit your warehouse. Pick one critical table. Enforce NOT NULL on every single column. If you truly need a missing value, use a sentinel row (e.g., id = 0 , name = "UNKNOWN" ). You will be shocked how many bugs disappear. ab initio data quality

Stop cleaning the swamp. Stop building the bridge. Stop the garbage at the gate. Change is allowed

If you work in data long enough, you’ve heard the mantra: “Garbage In, Garbage Out.” We all nod in agreement. Then, we build complex pipelines with 47 validation steps, six months of cleaning scripts, and a "trust but verify" dashboard that nobody actually reads. events_v2