Building a Scalable, Unified Data Warehouse with Microsoft Fabric
Feb 27
•10 min read

Data Warehouse:
Build a scalable, unified data warehouse to integrate data from multiple sources, including SAP, APIs, web scraping, SFTP, and Sage.
Data Integration & Transformation:
Implement ETL processes for data extraction, transformation, and loading, ensuring data is standardized and prepared for analytics.
Data Security:
Ensure secure access to sensitive data with role-based access control, encryption, and managed identities.
Scalability:
Design the system to scale with increasing data volumes and user demands, maintaining high performance.
Data Warehouse:
Use Microsoft Fabric to build a unified, scalable data warehouse that integrates data from sources like SAP, APIs, web scraping, SFTP, and Sage.
Notebooks:
Leverage Microsoft Fabric Notebooks for data exploration, analysis, and transformation, enabling interactive and reproducible analytics.
Pipelines:
Set up Data Pipelines in Microsoft Fabric to automate ETL processes, ensuring data is extracted, transformed, and loaded efficiently. Pipelines can also schedule data loads and run transformation tasks.
Data Activator:
Use Data Activator to trigger specific actions when certain conditions are met, such as changes in data or thresholds being reached.
Data Quality Monitoring and Notifications:
Real-time notifications are sent through Microsoft Teams or Outlook for every data ingestion cycle. This allows for quick error detection and resolution, maintaining high data quality standards
Efficiency:
Streamlined data integration with incremental loads, reducing processing time and resource usage.
Data Quality:
Ensured clean, non-duplicated data for accurate analysis.
Shortcuts:
Used shortcuts to avoid duplication and integrate Dynamics 365 data efficiently.
Scalability:
Solution scales to handle growing data while preventing duplication.
Cost Savings:
Reduced redundancy lowers storage and processing costs.
Faster Insights:
Real-time triggers and optimized flows enable quicker decision-making.
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