The Data Letter

The Data Letter

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Data Catalog Implementation

‘It Works on My Laptop’ Is Not a Product Strategy

How to Detect Model Drift When You Can’t Measure Performance

Your Company Doesn’t Do Machine Learning Operations. It Does Theater.

The Machine Learning Reality Gap

Drivers of Inevitable Evolution

When Your Tests Pass But Your Data Fails

Year in Review: Top 3 Data Failures of 2025

Data Contracts in 5 Minutes

How Netflix Does Data Reliability

dbt vs. Dataform: Which Should You Choose in 2026?

Who Owns Data Quality, Anyway?

🎃 Night of the Living Dead DAGs

Data Privacy Laws in 5 Minutes

Finding Your $100,000 Query

Tool Review: Soda Core vs. Great Expectations

Building a Resilient Data Factory

Your First Breeze

From Data Lineage to Data Observability

Understanding Data Lineage

A Proactive Framework for Reliable Data

Data Quality is a Spectrum, Not a Switch.

How to Navigate The Data Letter: A Complete Guide to Data Reliability Resources

Your Data Catalog is a Ghost Town

The Single Source of Truth is a Myth

Bad Data’s Hidden Toll

AI Was Tasked with Growth

Our AI Convinced Us We Had a Million New Users

The $12M Snowblower Crisis

🗳️ Pick Our Next Series (Free Cheat Sheet for Voters)

What Happened When a SaaS Company Discovered $210K in Wasted Ad Spend

How Reinforcement Learning Fixed a $4.8M Promotion Problem for a Global CPG Giant

My AI gave me fake data. Here’s how to catch it if it happens to you.

© 2026 Hodman Murad · Privacy ∙ Terms ∙ Collection notice
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