The Era of the Mixed Model Artist (Ch 1 Full)

Full Chapter 1 of Mixed Model Arts. Establishes the book’s thesis through an extended MMA/UFC analogy and catalogs five “camps” of data modeling that have traditionally operated in silos:

1. Relational Camp — normalization, referential integrity (the “boxer”)
2. Analytics Camp — Kimball star schemas, Inmon 3NF warehouses, Data Vault (the “wrestler”)
3. Application Camp — NoSQL, document stores, schema flexibility (the “kickboxer”)
4. ML/AI Camp — feature stores, embeddings, vector representations (the “jiu-jitsu expert”)
5. Knowledge Camp — ontologies, taxonomies, knowledge graphs (the “sensei”)

Three waves of convergence: (1) Operations meet analytics (1990s-2000s, data warehouse era), (2) Big Data disruption (2010s, data lakes), (3) AI revolution (2020s, LLMs/agents). Each wave required practitioners to think across more paradigms simultaneously.

The “kettlebell purchase” example illustrates six simultaneous model layers for one transaction: transactional, event, analytical, unstructured, ML/AI, and knowledge.

Introduces Shu-Ha-Ri mastery stages as the learning framework for the book.

RDCO relevance

Foundational chapter for understanding Reis’s framework. The five-camp taxonomy is a useful diagnostic for where clients are stuck (usually one-dimensional). The “depth vs. breadth” section directly addresses the objection that nobody can master everything — it’s about cross-form literacy, not universal expertise. Aligns with how we staff dbt engagements.