We designed a simplified yet robust technology architecture to streamline data processing and ensure scalability later on. Here’s how we implemented it:
Data Schema Development: We analyzed the client’s existing Excel models and developed a comprehensive data schema to support Power BI reporting and efficient data warehousing.
Data Ingestion: Azure Logic Apps automated the flow of data from Excel or CSV files into the system, streamlining data collection.
Data Transformation: Azure Data Factory managed the extraction, transformation, and loading (ETL) of data from the Data Lake into Azure SQL Database, ensuring alignment with the new schema.
Power BI Reporting: We replicated the client’s Excel reports in Power BI, allowing real-time tracking of key metrics and trends with interactive visualizations.
Secure Access: Azure Active Directory (AAD) was implemented to ensure secure user authentication, limiting access to authorized personnel.
Performance Monitoring: Azure Monitor and Cost Management tools were used to track system performance and resource usage, ensuring efficiency and cost-effectiveness.