The Database Guide
A 12-part series on databases, data governance, security, and data in the AI era — for non-developers.
Databases, governance, and security are usually written about in the language of technical documentation, never addressing non-developers as readers. So in meetings we simply nod along to decisions made by the engineering team, and in front of a data breach we do not even know what to ask.
This series gives non-developers the questions to ask about data: how databases work, which types exist and how to choose, governance and security fundamentals, and what data means in the AI era — twelve parts plus an appendix of checklists and a glossary.
12 parts + appendix
Where Does Data Live? — Welcome to the Series
Introduction to a 12-part database series for non-developers. Learn databases, governance, and security without code so you can ask better questions in meetings.
What Is a Database?
A beginner-friendly introduction to databases for non-developers: why a database is an organization's memory, and how it differs from a spreadsheet.
How Databases Protect Accuracy
How constraints, transactions, indexes, replication, and backup stop double-selling accidents — database accuracy explained for non-developers.
What Kinds of Databases Are There?
A complete guide to database types for non-developers: how relational, document, key-value, graph, time-series, search, and vector databases differ by data shape and the questions you ask.
Databases, Data Warehouses, and Data Lakes
A plain-language comparison of data stores for non-developers: why operational databases (OLTP), data warehouses (OLAP), data lakes, and lakehouses differ.
Why Choosing the Right Database Matters
How non-developers should choose a database: why the most famous product isn't the answer, plus ten questions to ask before product names — RTO, RPO, TCO, and vendor lock-in.
Data Models and Data Quality
An introduction to data quality for non-developers: what GIGO (Garbage In, Garbage Out) means, data models, and six criteria for good data — accuracy, completeness, consistency — explained with everyday examples.
What Is Data Governance?
Data governance for non-developers: how to define data, assign owners, set access rules and retention standards, and five minimal steps small teams can start today.
Less Personal Data, Only What You Need
A plain guide to the personal data lifecycle for non-developers: collection, storage, use, sharing, retention, deletion, and why less data is safer.
The Basics of Data Security
A plain-English intro to data security for non-developers: encryption, access control, backups, insider threats — four layers of doors, not one lock, plus questions to ask in meetings.
Why Do Data Breaches Happen, and What Should You Do When One Does?
A data breach response guide for non-developers: why account takeover, misconfigured sharing, and supply chain attacks happen, and the steps to take right after.
Cloud and Serverless Databases
A cloud database guide for non-developers: what managed and serverless really mean, plus the shared responsibility model, cloud costs, and data residency.
Databases in the AI Era
Databases in the AI era, for non-developers. What vector search, RAG, and hallucinations mean, why Garbage In, Garbage Out gets amplified, and what good data takes.
Checklists and Glossary
Appendix to the databases series for non-developers. Decision checklists and a plain-language glossary for putting all 12 parts to work.
Read from the beginning, or jump straight to the part you need.
About the Author
Jaehee Song
Enterprise data platform architect with 20+ years of experience building data systems for Fortune 500 companies. AI development educator who has taught vibe coding and AI development to hundreds of students. Founder of Seattle Partners, helping Korean technology startups navigate the US market.