Real-Time Changes Data Capture Dashboard in Microsoft Fabric
Client Region – USA Company Size – 200 – 500 people Domain – Software Development
Challenges
A dynamic business environment requires real-time insights from continuously changing datasets. This case study showcases the creation of a real-time CDC dashboard using Microsoft Fabric’s integrated ecosystem. The solution streamlined data ingestion, transformation, and visualization, enabling up-to-the-minute decision-making.
Process Overview
Bronze Layer: Ingesting CDC Data from Azure SQL to KQL Database
Source: The primary data source is Azure SQL Database enabled with CDC.
Event Streaming: Data changes are captured via Event Stream and directly ingested into a KQL Database.
Silver Layer: Filtering and Enrichment
Data Activator:
A Data Activator is configured to monitor the KQL Database in the Bronze Layer.
On detecting specific triggers or thresholds, the activator invokes a Fabric Notebook.
Fabric Notebook:
Performs column-based filtering and data refinement.
The cleaned and enriched data is then ingested into a new KQL Database in the Silver Layer.
Outcome: The Silver Layer serves as an intermediate storage for filtered and partially processed data, ensuring efficiency and scalability.
Gold Layer: Advanced Transformation and Dashboard Integration
Data Activator:
Another Data Activator monitors the KQL Database in the Silver Layer.
Triggers a Fabric Notebook for advanced transformations and business logic implementation.
Fabric Notebook:
Applies complex transformations to derive actionable insights.
The processed data is stored in a KQL Database in the Gold Layer.
Dashboard:
The Gold Layer’s KQL Database acts as the final data source for building a Real-Time Dashboard.
The dashboard provides live metrics and visualizations, empowering decision-makers with instantaneous insights.
Key Features of the Solution
Real-Time Data Flow: Changes in the Azure SQL CDC source are reflected in the dashboard with minimal latency.
Scalable Architecture: Each layer is designed to handle large volumes of data efficiently.
Seamless Transformation: Fabric Notebooks enable both lightweight and advanced data processing without external dependencies.
Actionable Triggers: Data Activators ensure responsive workflows by automating task execution based on data thresholds or events.
Interactive Dashboards: Powered by the Gold Layer’s KQL Database, the dashboard delivers dynamic insights with an intuitive interface.
Automation: Data Activators eliminate manual intervention.
Quantitative Impact
Latency: End-to-end data flow latency reduced to <10 seconds.
Efficiency: 25% faster processing than traditional pipelines.
Cost Savings: 30% reduction in computational expenses.
Conclusion
This Real-Time Change Data Capture Dashboard in Microsoft Fabric showcases a robust end-to-end solution for real-time data processing and visualization. By leveraging Microsoft Fabric’s capabilities, the architecture ensures a seamless flow from raw data ingestion to actionable insights, empowering organizations to make timely, data-driven decisions.
