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Data Architecture

From first principles to reference architectures: how modern data platforms are designed, why they look the way they do, and how to make the big decisions.

  1. Data Architecture: The Complete Guide for the AI Era

    What data architecture really is, the six layers of a modern platform, how we got from warehouses to open lakehouses, the patterns that matter in 2026 — and a practical framework for choosing yours.

    Published Sep 25, 2026 · Read now →
  2. Warehouse vs Lake vs Lakehouse: A Decision Guide for 2026

    Warehouse, lake or lakehouse? How each really works, why the lines blurred in 2026, and a decision tree, scorecard and scenarios to choose yours.

    Published Oct 2, 2026 · Read now →
  3. Open Table Formats Deep Dive: Iceberg, Delta, Hudi & DuckLake

    How Iceberg, Delta Lake, Hudi and DuckLake turn Parquet files into reliable tables — metadata, commits, deletes, maintenance — and how to choose in 2026.

    Published Oct 6, 2026 · Read now →
  4. Catalogs: The Metadata Control Plane of the Lakehouse

    Why the catalog is the most strategic lakehouse decision: how the Iceberg REST protocol works, how Polaris, Unity, Glue and Horizon compare, and how to choose.

    Published Oct 17, 2026 · Read now →
  5. Data Modeling for the Modern Stack: Kimball, Data Vault, OBT & Medallion

    Kimball, Data Vault 2.x, One Big Table and medallion layers compared on one example, plus a layered recipe for a lakehouse people and AI can trust.

    Published Oct 27, 2026 · Read now →
  6. Batch, Streaming & Real-Time Architectures

    Lambda, Kappa, streaming lakehouse, CDC and the latency/cost/complexity triangle.

    Coming soon
  7. Data Mesh & Data Fabric in Practice

    Domain ownership, data products, federated governance — what worked and what did not.

    Coming soon
  8. Reference Architectures: AWS, Azure, GCP, Databricks & Snowflake

    The same blueprint mapped onto each platform, with the gotchas.

    Coming soon
  9. Designing AI-Ready Data Architecture

    Unstructured data, vector search, semantic layers, context for agents and governance for AI.

    Coming soon
  10. Cost, Performance & FinOps for Data Platforms

    Where the money goes, and the architectural levers that actually reduce it.

    Coming soon