Vojtěch ŠímaData Bender
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Lakehouse

4 posts on Lakehouse: benchmarks, internals and workarounds for the Microsoft data stack.

  1. 04
    How Much Does Direct Lake Cost in Microsoft Fabric?

    Direct Lake vs Import CU cost, measured over nine replications on F64 and F2. Where the refresh saving goes, and the Lakehouse overhead you don't see.

  2. 03
    Direct Lake Internals: Transcoding, Framing, Residency, and Eviction

    How Direct Lake really works in Microsoft Fabric: framing, transcoding, column residency and eviction, with the measured CU cost of each.

  3. 02
    Automated Delta Table Maintenance in Fabric Lakehouse (Without PySpark)

    Deep dive into Delta table internals, transaction logs, and storage layout. Master maintenance, VACUUM, and Z-Order using Python (delta-rs) in Microsoft Fabric.

  4. 01
    Programmatically Refresh & Sync SQL Analytics Endpoint Metadata in Microsoft Fabric

    Learn how SQL Analytics Endpoint in Microsoft Fabric works and how to fix metadata lag by calling the Refresh SQL Endpoint Metadata API before Power BI refresh.

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