Sarah Mitchell

Data Quality Lead at Performalytic

Sarah covers data quality, observability, schema tooling, and entity resolution. She writes about the testing and monitoring practices that let data teams catch problems before they reach production.

data qualitydata observabilityschema compareentity resolutionmaster data managementdata testing

Articles by Sarah Mitchell

7 published guides on enterprise data, analytics, and AI.

12 Schema Compare Tools Compared for 2026

We compare 12 schema compare tools - SSMS, pgAdmin, Flyway, Liquibase, Atlas, Redgate, dbForge, Bytebase and more - by engine coverage, diff depth, and CI fit.

Oct 7, 2026 · 14 min read

AI Entity Resolution: How Machines Match, Merge, and Build Golden Records

Deterministic vs probabilistic matching, ML-powered match and merge, confidence scoring, and survivorship — how AI entity resolution builds golden records at scale.

Sep 26, 2026 · 13 min read

MDM Implementation Patterns: Registry, Consolidation, and Coexistence

Choosing the wrong MDM architecture pattern wastes months of effort. This guide breaks down the three canonical patterns — when to use each and how to migrate between them.

Sep 12, 2026 · 14 min read

The Real Cost of Bad Data: How Poor Data Quality Impacts Your Bottom Line

Bad data costs enterprises millions every year. Learn how poor data quality impacts your bottom line and what to do about it.

Sep 10, 2026 · 8 min read

Schema Compare Guide: Catch Breaking Changes Before They Reach Production

Learn how schema compare tools help teams detect breaking changes, prevent pipeline failures, and maintain data integrity.

Aug 25, 2026 · 9 min read

Enterprise RAG Architecture: A Practical Guide for 2026

A comprehensive guide to enterprise RAG architecture. Learn implementation patterns, design decisions, evaluation metrics, and common pitfalls for building production-ready RAG systems.

Jul 19, 2026 · 15 min read

Building a Responsible AI Framework: Governance, Bias, and Compliance in 2026

A comprehensive guide to building a responsible AI framework covering governance, bias mitigation, and compliance.

Jul 19, 2026 · 15 min read

Work with Sarah and the Performalytic team

Talk to the people who build and write about enterprise data systems every day.