A check in the wrong place catches bad data too late. See where data quality checks belong: ingestion, transformation, release gates, and quarantine.
“Clean Data” Is Not a Requirement: Writing Rules People Can Act On
Clean is a feeling, not a spec. Write data quality rules with a testable check, a threshold, and a named owner, so every failure is obvious and owned.
Count Is Not Risk: Ranking Data Issues by What They Actually Cost
The biggest pile of errors is rarely your biggest problem. Rank data quality risk by impact and likelihood, not row count, and fix what actually hurts.
Data Quality, Data Reliability, and Data Observability: Telling the Three Apart
“The dashboard is wrong” hides three problems. Learn how data quality, data reliability, and data observability differ, and which one you are actually facing.
I Almost Did Not Publish This Book
I almost did not publish this book.
Not because I doubted the ideas.
We Need to Talk About How AI Actually Makes You Feel
Can I be honest with you for a second? We need to talk about how AI actually makes you feel, because I don’t think most of what we say about AI is really about AI at all. I think it’s about us.
From Baby SQLAuthority to Author: Shaivi, You Made Us Proud
Balance, Bounce & Believe: A Practical Guide for Young Gymnasts is the book our daughter, Shaivi Pinalkumar Dave, has written, and for Nupur and me, it is not only a book.