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Have you ever felt lost in the world of data engineering resources? I've spent years collecting, connecting, and curating knowledge that now forms a digital garden where concepts grow and link organically. The «Data Engineering Vault» features a collection of over 1000 curated notes, interconnected concepts that create a knowledge ecosystem for data engineers. --- The DE Vault It's a Second Brain approach to DE knowledge where: ✦ Each concept links to related terms, creating natural learning paths ✦ Historical context shows how the field evolved from BI to modern data engineering ✦ Practical applications connect theory to real-world implementation The vault contains deep dives into foundational areas like: ↠ Data Engineering Lifecycle and the Role of a Data Engineer ↠ Data Modeling approaches from Dimensional to Entity-Centric Data Modeling (ECM) ↠ Modern Data Infrastructure with Data Lakehouse and Open Table Formats (Delta Lake, Iceberg, Hudi) ↠ Data Transformation paradigms including Functional Data Engineering and dbt, SQLMesh ↠ Modern Analytics with Data Contracts, Lakehouse and Semantic Layers ↠ Specialized techniques like Change Data Capture, Time Travel, and Schema Evolution Beyond definitions, you'll find curated pathways through: ↠ Maxime Beauchemin's trilogy defining modern data engineering ↠ Essential books that shaped the discipline ↠ Thought leaders whose ideas drive innovation in the field ↠ Whitepapers establishing theoretical foundations ↠ Learning resources from beginner to expert levels This interconnected approach helps you see not just what exists, but why it was created, how it relates to each other, and where it fits in the broader ecosystem. This helps learning, as our brain learns best in an interconnected way, and you get to choose what to explore next. Explore the full 1000+ node knowledge network at https://t.co/Xm1PDbfr7I. I hope you enjoy. Please let me know if there's an important term missing you'd like me to add.