Data management
In Chapter 5, Tenant Services and Smart Building Amenities, we described data analytics as the process of analyzing data collected from IoT devices using specific analytic tools and techniques. We reviewed the different types of analytics and provided examples of how data analytics can be implemented in buildings.
Building data traditionally has been collected and stored in system silos, which makes it difficult to analyze and manage. The goal of a smart building is to provide a holistic view of the entire building’s operation, and therefore, this data needs to be integrated to provide an exchange of information. To achieve this, massive amounts of data need to be ingested and processed, a task that is too large and complex for traditional database systems.
Big Building Data (BB Data) is a dedicated big data system for processing, sharing, and storing all a building’s data. Input is collected from different sensors using a common method and language...
