SQL Case study 5 - Data Mart

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Global Freight Forwarders Incremental Ingestion of Logistics Data (Microsoft Fabric)

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  Company Background Global logistics provider handling high-volume shipments Requires timely data for tracking and SLAs Modernizing ingestion using Microsoft Fabric Current Situation Manual daily logistics file uploads Full data reprocessing every ingestion run Inconsistent data availability for dashboards Challenges Identified Manual uploads with no automation Full-file ingestion causing processing delays No watermark to track processed data Unreliable data freshness for operations Variable source schemas across systems Limited monitoring for failures Call to Action Design automated incremental ingestionB ingestion in Fabric Replace manual processes with reliable pipelines Objective Process only new or updated events Track progress using watermark table Load delta records into Bronze layer Update watermark after successful runs Run pipeline on fixed schedule Architecture Overview Fabric pipeline with lookup a...
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