HB Reavis

We collaborated in the creation of a new innovative solution for smart spaces that processes in real time the sensory data needed to implement well-being scenarios.

Client: HB Reavis

Industry: Reality

Technology: Microsoft Azure Data Lake Storage, Azure Databricks, Azure Event Hub, Azure Stream Analytics, Azure Data Factory, Azure Cosmos DB, Power BI

Client description

HB Reavis is a real estate company. Over the 30 years of its existence, they have evolved from a Slovak development company to an international workspace provider delivering projects focused on wellbeing and efficiency.


To help design a modern data architecture in a cloud environment, for managing data entities in a multi-building, multi-tenant, multi-space, and sensor technology environment so that scenarios for workplace analytics and facility management can be implemented.

Description of implementation

We designed a data management system for a client in a lambda architecture where thousands of signals per second are processed in real time (Speed layer). We prepared a scalable infrastructure on Azure cloud platform. We have designed and implemented a data concept for storing and processing building data (Data Lake). We designed and implemented a multi-tenant metamodel (buildings, tenants, spaces, users, sensors, metrics, …) to meet the needs of dynamically emerging business scenarios.  We made the processed data available in real-time for applications in Azure Cosmos DB document databases. For selected metrics, we also prepared history processing in the form of Power BI datasets for analytical scenarios.

Main benefits of the new solution

The main benefit of the solution is the ability to manage data processing in a dynamic environment (buildings, tenants, changes in premises and new sensor technologies) so that modern scenarios can be implemented using building data.

Sophisticated modern architecture

leveraging advanced technologies, enables highly efficient real-time processing of large volumes of complex data (Big Data).

Optimized cloud infrastructure (Azure) 

is designed to be scalable, effortlessly accommodating current data volumes and adapting to processing scenarios with flexibility and reliability.

Multi-tenant building metamodel

enables configuration of data processing in a dynamic environment of changing tenants, space configurations and sensor technologies.

Processed data for applications and analytics

allows you to strategically focus on developing comprehensive scenarios for well-being user applications and optimized analytics outputs.


The system is able to manage a dynamic sensor data processing environment and provide it in real-time to applications to implement well-being scenarios.

Next steps

The project was carried out at a time when various sensing technologies and scenarios were being validated. The proposed data processing architecture and multi-tenant metamodel is in production use.

„The biggest challenge was finding a complex and scalable platform for our entire data management process.“

We were looking for a solution that would work for us in the future and could be used throughout the company.

Karol Michaliak, Director of IT, HB Reavis

Used technologies
to develop the solution.

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