
Overview
Support for data harmonisation and integration, i.e., processing and transforming data from different sources into a standard common format. This process requires the specification and implementation of mappings between a data source model and a target (standard-based) model, the integration with other standard-based data sources (establishing links between data elements), and the provision of interfaces to access the harmonised data. The harmonisation can be performed as a one-time activity, e.g., with (semi-) static data sources, but more importantly in a continuous manner, whenever new data is becoming available. For the latter, a pipeline is defined with the specified mapping once, and then it can be re-executed (via CLI or API) as frequently as needed just by changing the input data.
More about the service
-enhanced interoperability between different systems, machines, and software platforms by making data consistent, standardised, and easily exchangeable across various technologies.
Harmonised data:
- ensures that different systems can communicate by using a common data format
- Support the connection of legacy systems with modern platforms, allowing businesses to adopt new technologies without discarding existing infrastructure.
-enables IoT devices, agro-robots, and other smart systems to share data in real time, improving automation and efficiency.
- facilitates interoperability between different sectors, such as agriculture and manufacturing, by ensuring data can be used across multiple domains.
- helps businesses meet industry standards and legal requirements, reducing risks and improving data governance.
- enables an integrated view and access of data coming from different sources, for instance, by data analytics components and decision support systems to leverage the full value of all available data Data harmonisation acts as a "universal translator" that enables different systems and machines to work together smoothly, making processes more efficient, automated, and future-proof.