hierarchies
3 stories filed under hierarchies on Beyond Market Intelligence. The newest of them: “Explore multi-agent AI design by building EV purchase and support tools”, “Explore how recursive CTEs simplify graph traversal in SQL.”, and “Beyond Flat Tables A Practical Guide to Star Schema Dimensions”. Multi-agent AI design doesn't have to be abstract. Most of us treat SQL as a tool for flat tables, but recursive CTEs unlock something far more interesting: the ability to traverse relationships directly in your database. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every hierarchies story on Beyond Market Intelligence, newest first.
Explore multi-agent AI design by building EV purchase and support tools
Multi-agent AI design doesn't have to be abstract. Build an EV purchase adviser and a support agent in Python, then watch how fan-out, pipelines, hierarchies, and swarms reuse the same building blocks. It's a practical way to explore how these systems scale. For deeper context on tracking such investments, our piece on "12 KPIs to Track AI Adoption, Cost, and Performance in Your Organization" offers a grounded framework. Start building, and discover how these patterns transform what's possible.
Explore how recursive CTEs simplify graph traversal in SQL.
Most of us treat SQL as a tool for flat tables, but recursive CTEs unlock something far more interesting: the ability to traverse relationships directly in your database. This guide shows how to navigate hierarchies, detect cycles, and even calculate degrees of separation without leaving SQL. It's a practical, empowering look at a hidden capability. If you're ready to move beyond simple queries, this is your entry point.
Beyond Flat Tables A Practical Guide to Star Schema Dimensions
Dimensions often get treated as a single concept, but they come in distinct types, each serving a different analytical purpose. This guide breaks down those variations clearly, helping you choose the right structure for your data model. It's a practical read for anyone moving beyond basic spreadsheets and into more deliberate design. If you are curious about how structured thinking applies elsewhere, our piece on bridging retrieval and action offers a useful parallel.