The Database Inside Your Lakehouse: A DuckLake Architecture Deep Dive
Most people using DuckLake know what it does. Fewer know how it actually works under the hood - and that gap matters when you're running it in production . In this session, Alex Monahan goes inside DuckLake's architecture: how the catalog, storage, and compute layers are designed, why separating them is a deliberate choice rather than an implementation detail, and what that design means for how DuckLake handles reads, writes, and query planning. This session is based on Chapter 3 of DuckLake: The Definitive Guide, published with O'Reilly.

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From Postgres to a Minimalist Lakehouse: The Next Step with DuckLake - Mehdi Ouazza - MotherDuck

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AI is relearning everything databases already knew ft. Stephanie Wang

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What's new in Spanner: Enterprise-scale AI, search, graph, and analytics

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What If Every SQL Query Could Update Incrementally? (with Lalith Suresh)

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Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains

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DuckLake Deep Dive: Build a Full Lakehouse with Just Parquet Files and DuckDB

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Google & AWS Veteran: What Top Tier Software Architects Do Differently

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The 'massive amount of ammo' Nato is buying to stop Russia | The Security Brief

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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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Is RAG Still Needed? Choosing the Best Approach for LLMs

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‘That terrifies me’ | Jeffrey Ladish’s fear of AI | Four Corners

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Don't learn AI Agents without Learning these Fundamentals
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Data Modeling for Power BI [Full Course] 📊

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Gary Stevenson on how our grandparents ERADICATED poverty - and how we can too

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Casey Muratori – The Big OOPs: Anatomy of a Thirty-five-year Mistake – BSC 2025

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Data Lakehouse with dbt and DuckLake

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MCP vs API: Why traditional APIs are failing AI agents

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Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

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System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

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