direct-lake

Materialized Lake Views and Ontology-Based Data Agents for Cross-Domain Hospital Analytics Demo

Tabela calendário para lakehouse Fabric a partir do notebook spark

Find the lineage, understand the model, document both. Trace every Power BI column back to its physical source, read a model you did not build, and generate documentation that cannot go stale — or hand it over as one self-contained HTML file.

React starter for Microsoft Fabric Apps that connects to a Power BI semantic model and renders live metadata via DAX.

Zava Health Network: End-to-end Fabric demo — Materialized Lake Views + Fabric IQ Ontology + Data Agents + Activator. Cross-domain hospital intelligence from EHR, staffing, census, and billing data. Three workspaces, zero manual orchestration.

End of Power BI? A two-app Microsoft Fabric translytical demo: an operational self-checkout that writes sales, and a Direct Lake analytics dashboard that reads them back near real time. Built with Rayfin.

Research/educational multi-report Power BI + Microsoft Fabric (PBIP) monorepo — agent-built with Claude Code. Includes a banking 'Branch & Channel Performance' report on 100% dummy AI-generated data. Not production-tier.

End-to-end Microsoft Fabric pipeline and Power BI report over 49M U.S. flight records: pre vs post-COVID recovery and reliability

Enterprise Microsoft Data Platform: SQL Server, Microsoft Fabric (DP-600/DP-700), PySpark Delta Lake, Warehouse T-SQL & Power BI Direct Lake Analytics.

End-to-end sales analytics solution built with Microsoft Fabric, featuring a Bronze-Silver-Gold architecture, PySpark transformations, Direct Lake semantic model, Power BI reporting, and Git integration.

Customer 360 churn demo on Microsoft Fabric - behaviour-derived churn, Lakehouse + Direct Lake semantic model + ontology/graph + dual-source Data Agent. Fully config-driven and idempotent.

End-to-end demo: Materialized Lake Views + Fabric IQ Ontology + Data Agents — cross-workspace data products with no Airflow, no dbt, no separate lineage tool. One Lakehouse, every capability.

A Power BI Direct Lake semantic model serving a table that silently federates to DirectQuery — correct answers, no error, and every piece of metadata still saying DirectLake.

Microsoft Fabric -- End-to-end lakehouse: medallion architecture, PySpark notebooks, semantic model, Direct Lake Power BI report

End-to-end Microsoft Fabric demo for omnichannel retailers: SQL POS mirroring, OneLake medallion (bronze/silver/gold) with data-quality log, Direct Lake Power BI, MLflow Q4 sales forecast, Data Agent (Greek/English) and Fabric IQ ontology - one-command deploy, fictional data

End-to-end Microsoft Fabric data engineering platform using PostgreSQL, Dataflow Gen2, Lakehouse, Spark, Direct Lake, Power BI, and Fabric Pipeline.

Senior/Lead Microsoft Fabric medallion platform case study for contracts, orchestration, quality gates, security, and recovery.

End-to-end Microsoft Fabric analytics platform processing 167.9M smart-meter readings using Data Factory, OneLake, Lakehouse, PySpark, Delta, Direct Lake and Power BI.

End-to-end Microsoft Fabric demo for hotel groups: SQL PMS mirroring, OneLake, Direct Lake Power BI, MLflow demand forecast, Data Agent (Greek/English) and Fabric IQ ontology - one-command deploy, fictional data

Advanced analytics portal for Microsoft Fabric - Semantic model exploration, anomaly detection, and operational monitoring powered by Streamlit