LES Migrates On-Premises Data to Azure for Streamlined Data Management
LES
Summary
Liquid Environmental Solutions (LES) used third-party APIs to track critical operational metrics, including truck routes, driver assignments, collection times, waste collected, and the number of stops. While the tracking system was effective, the data was stored in on-premises virtual machines, limiting its usability for analysis and reporting. Imperium Dynamics resolved this challenge by designing automated data pipelines with Microsoft Fabric to capture, map, and transform the data from APIs and on-prem systems. Over 8 million rows of historical data were migrated to Azure, ensuring efficient storage, accessibility, and scalability for LES’s operational needs.
Problems
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Data stored in on-premises virtual machines was less structured hence, difficult to use.
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Limited ability to analyze and report operational data effectively.
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Inefficient handling and scalability of historical data.
Outcome
- Built automated data pipelines using Microsoft Fabric to capture and transform data from third-party APIs.
- Scheduled daily jobs to migrate on-premises data to Azure, ensuring consistency and reliability.
- Migrated four years of historical data (8 million rows) to Azure, centralizing storage for future scalability.
Features
Solution Features
Automated daily pipelines for Data Migration
Structured storage of operational metrics in Azure for scalability.
Centralized data repository for real-time and historical analysis.
Project
Timeline
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