Microsoft Fabric Lakehouse

Overview

We build a Fabric lakehouse on OneLake when Fabric is your analytics platform. Tables are Delta, shortcuts point at existing ADLS data where a copy would be wasteful, and notebooks or pipelines load the tables on a schedule.

We agree the medallion folders, workspace roles, and which tables are safe for a Power BI semantic model to read. A bad load is recovered by rerunning a partition, not by restoring the whole lake.

What we deliver

• Lakehouse with raw, cleansed, and curated Delta tables
• OneLake shortcuts to existing storage where a copy is not required
• Scheduled notebook or pipeline loads with failure notification
• Endorsed tables and grants for the semantic models that read them

Business benefits

• Spark processing and Power BI read the same OneLake tables
• Existing lake files are reused through shortcuts instead of duplicated
• Curated tables have an owner and a reload step