Found bad data in production? Use this data incident response playbook: triage, contain, trace the source, fix, verify, tell people, and review calmly.
It Passed Every Test and Still Broke: Four Signals Validation Never Catches
Every test passed and the dashboard still broke. Data pipeline monitoring catches what row rules miss: freshness, volume, schema drift, distribution shift.
Where Should a Data Quality Check Live? Gates, Controls, and Quarantine
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.
Is your SQL Server running slow and you want to speed it up without sharing server credentials? In my Comprehensive Database Performance Health Check, we can work together remotely and resolve your biggest performance troublemakers in less than 4 hours.
Once you learn my business secrets, you will fix the majority of problems in the future.
Have you ever opened any PowerPoint deck when you face SQL Server Performance Tuning emergencies? SQL Server Performance Tuning Practical Workshop is my MOST popular training with no PowerPoint presentations and 100% practical demonstrations.
Essentially I share my business secrets to optimize SQL Server performance.