[Case Study] Building a Scalable Data Architecture for Seamless Industry 4.0 Integration

[Case Study] Building a Scalable Data Architecture for Seamless Industry 4.0 Integration | SPONSORED

This case study highlights how Siemens Gamesa, a global leader in the renewable energy industry, addressed data integration challenges stemming from a merger. The merger of Siemens’s Wind Power Division with Gamesa Corporación Tecnológica resulted in mismatched processes, unstandardized data models, and disparate protocols across their systems. To overcome these obstacles and enable Industry 4.0 use cases, Siemens Gamesa sought a scalable architecture capable of adapting to diverse data sources.

HighByte Intelligence Hub emerged as the solution, providing a centralized platform for data curation, orchestration, and modeling. Siemens Gamesa utilized the platform to create a unified namespace (UNS), bridging the gap between disparate systems and data formats. This involved translating data into a common structure, making it accessible via an MQTT broker for consumption by various applications, including a SQL-based data mart for visualization.

This approach yielded substantial benefits. It fostered alignment between teams, processes, and technologies across the merged entities. The local UNS, built using HighByte, enabled engineers to monitor the blade casting mold control system effectively through real-time data and trend analysis. Furthermore, the implementation laid the foundation for an enterprise-wide UNS, with HighByte serving as the crucial abstraction layer to harmonize their disparate systems.

By leveraging the HighByte Intelligence Hub, Siemens Gamesa was able to create a unified data architecture that not only improved alignment across their operations but also laid the groundwork for future scalability and Industry 4.0 use cases. Download the full case study to explore how they transformed their data strategy and the benefits they achieved.

Sponsored by HighByte