Data Engineering with a 'Cover and Move' Approach to Data Quality

A Tactical Approach to Data Quality

Photo by Ali Pazani on Unsplash

If you work in data in any shape or form, you’re going to hear those words thrown around at some point. Most people take a nonchalant attitude to data quality, thinking, “The data should be quality-checked upstream at the source, right?” Wrong.

The data input is always right — alrighty then.

The “not my problem” stance. These are the same folks who like to wave at data quality issues as they fly past.

“Our data is always accurate” (heard this one at a recent conference — insert audible eye roll) — yeah, right.

My personal favorite: “I thought it was already quality-checked” — hmm, by who, the fairies?

These are assumptions, and assumptions will bite you harder than you think.