Definition
A canonical data model (CDM) refers to a layout pattern software engineers use to homogenize data structure and format. It is a common data representation that comprises numerous data formats, facilitating consistent data assessment and streamlining integration.
CDM is a universal translator in environments that use diverse data formats and apps. So, instead of building point-to-point data integrations between every app, every system maps its data to the CDM. This ensures that the data flows effortlessly between systems, removing the need for multiple different modifications.
Advantages of the Use of the Canonical Information Model
- Rapid and efficient data integration initiatives due to the decreased number of custom integrations.
- Data is consistently represented across all systems, minimizing mistakes and misinterpretations.
- It is easy to integrate new systems without affecting existing ones by mapping their data to the CDM.
- Unlike point-to-point integrations, adjustments in one system don’t necessitate changes in all other systems.
Disadvantages of Using the Canonical Facts Model
- Crafting a comprehensive CDM is a time-consuming and complex process.
- If not designed properly, modifications made to the CDM can disrupt the entire system.
- CDM adds an extra processing layer to the data flow, likely impacting performance.
