Data Governance architecture
The Data Governance layer establishes the foundational data architecture for a Data Fabric, which both the Data Integration and Self-Service layers rely on. The following are two key architecture patterns in the Data Governance layer:
- Metadata-driven
- Event-driven
Let’s discuss each of them in detail.
Metadata-driven architecture
Metadata in data management is defined classically as data about data. It provides context and information relevant to data so that it can be understood and used effectively. Metadata collection has a long history, dating back to the late 1900s (https://www.dataversity.net/a-brief-history-of-metadata/). The reliance on and use of metadata since then have increased drastically throughout the years with digital data management. Companies such as Google and Adobe were pioneers in tapping into the value of leveraging metadata to create a world of discoverable and usable data at a grand scale to realize...
