Connection of Dynamic and Static Data: A Data Lake for Building Digitalisation

The landscape of building data is expanding, with heterogeneous sources that are often treated as isolated silos across different building domains such as energy, architecture elements, or automation networks. This siloed approach creates a lock-in scenario, limiting the potential for effective data exploitation, including the provision of added-value services, artificial intelligence, or machine-learning activities. To overcome this challenge, ensuring data integration through interoperability mechanisms becomes crucial within building data management frameworks. In line with this perspective, this work introduces a data lake that harmonizes heterogeneous data sources from various building domains. The primary goal is to standardize datasets, ensuring the delivery of high-quality services to facilitate better decision-making. These datasets are enriched by interactions between static and dynamic datasets. This holistic approach aims to break down silos and unlock the full potential of building data for informed decision-making processes.