The customer’s production machines send IoT sensor data to Azure IoT Hub to provide operational visibility. The streaming data ingested into Azure IoT Hub is processed by Azure Data Explorer for real-time analytics. Azure Data Factory pipelines are used to ingest shift master data from on-premises SQL and MySQL databases, SharePoint, and network storage. Azure Blob storage is used to store files.
However, the existing system lacked in-built alert notification for pipeline failures, making it impossible to proactively address issues. Additionally, high operational and ownership costs were incurred due to separate licenses for different services.
To address these inefficiencies, the customer partnered with TCS to migrate existing Azure components to corresponding Fabric components. By leveraging real-time Intelligence with Microsoft Fabric, the customer aimed to consolidate their data for a unified view, improve license management, and monitoring and drive continuous improvement.
Challenge
The customer wanted to migrate Azure data services to corresponding Fabric components while ensuring zero data loss. They also aimed to reduce overall costs and wanted to address the following concerns:
To address these challenges, TCS designed and implemented migration solutions using Fabric components, resulting in a unified environment for all data, streamlined workflows, and improved business operations efficiency. The key steps include:
By consolidating different Azure data services into a single platform with Microsoft Fabric Real-Time Intelligence, the customer achieved a transformative solution. They reduced costs, eliminated scalability limitations, and minimized data latency. Microsoft Fabric’s Real-Time Intelligence service empowered them to harness real-time processing and deliver faster insights.
Key benefits included: