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For years, Enterprise Architects viewed graph databases with a mix of curiosity and dread. Between specialist silos, complex ETL pipelines, and infrastructure friction, many chose to stay in the safety of relational tables. Amy Hodler (Founder of GraphGeeks) chats with Max Latey (CEO of Pinboard Consulting) to discuss the shift in how organizations are adopting graph technology. Episode Chapters: 00:00 – Intro: Amy Hodler & Max Latey at Pinboard Offices 01:05 – The history of Graph Friction for Enterprise Architects 03:19 – Two big shifts: GraphRAG and easier tooling 04:55 – Starting with your existing stack (AWS, Azure, Google, PuppyGraph) 06:30 – Is Graph Query on Top a better way to start? 07:35 – The challenge of Graph Data Modeling: Nodes vs. Edges 09:40 – Max’s "Side-by-Side" modeling method 13:10 – Coming Trends Key Takeaways: The Graph on Relational Revolution: How tools are allowing EAs to sprinkle graph capabilities over existing stacks without heavy ETL. GraphRAG & LLMs: Why the push for GenAI is making graph technology a must-have for context-rich AI. Data Modeling: Why understanding self-edges is the key to identifying a true network in your data. Lowering the Skill Ceiling: How SQL 2023 and GQL are making graph accessible to standard data teams. Pinboard Consulting specializes in high-impact graph solutions, entity resolution, and architectural strategy. https://www.pinboardconsulting.com/