Understanding the Traditional Data Workflow Challenges @Datasciencedojo
Understanding the Traditional Data Workflow Challenges  @Datasciencedojo
Uploaded August 2025 | Updated September 2026, 2 weeks ago
Discover how Microsoft Fabric transforms complex, multi-tool data workflows into a seamless, end-to-end experience. In this session, we compare traditional setups—where data ingestion, storage, transformation, and analytics happen in separate tools—with Fabric’s unified platform.

Using a bank customer journey dataset, we explore the Medallion architecture (bronze, silver, and gold layers) and demonstrate how Fabric’s integrated workloads—Data Factory, Data Warehouse, Data Engineering, and Data Science—eliminate data silos, simplify governance, and enable faster insights.

Watch the hands-on exercise where we:
• Ingest data from Azure Blob Storage
• Organize it in Fabric lakehouses
• Apply transformations using Data Flows and notebooks
• Prepare it for analytics, ML models, and Power BI reports
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Understanding the Traditional Data Workflow Challenges

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