Mixed Model Arts Book Club: Kickoff & Community Discussion with Joe Reis
Welcome to the kickoff session of the Mixed Model Arts (MMA) book club! In this opening session, we set the stage for our weekly discussions on modern, cross-disciplinary data modeling. We dive into why data modeling is having a major resurgence, the motivation behind Mixed Model Arts, how AI and converged databases are changing the way we design systems, and the shared challenges practitioners face across data engineering, analytics, architecture, and product. ⏱️ Timestamps [00:00] – Welcome & Motivation behind the MMA Book Club [01:14] – Book club logistics & how weekly sessions work [03:16] – Group introductions: What brought you here? [06:03] – Why Mixed Model Arts? Beyond Chapter 8 of Fundamentals of Data Engineering [08:02] – First principles: The core building blocks of data [10:40] – Discussion Q1: What do you work on, and where does data modeling show up? [19:58] – AI in day-to-day data engineering and modeling workflows [21:23] – Discussion Q2: Common misconceptions and disagreements in data modeling [28:04] – "Resume-Driven Development" vs. solving real business problems [29:42] – Bill Inmon on true north: Believable data that adds value [34:12] – Domain-Driven Design (DDD) & breaking organizational silos [39:04] – Support system modeling & prep for Part 1 (Chapters 1–3) [40:30] – Learning different modeling camps & unlearning old habits [42:50] – Wrap-up and next steps 📚 Resources & Community Book Club Updates & Substack: https://practicaldatamodeling.substack.com/