Metadata as a service
Metadata as a service needs to be designed into a platform to drive automation and enable data sharing, governance, and Data Integration. The collection of metadata needs to take place throughout the life cycle of data, across all data management functions such as the development and deployment of data, data ingestion, Data Integration, and data consumption until its end of life. Metadata collection at every stage of the data life cycle enables us to make intelligent decisions to increase business value. In the following section, we will dive into some important points about metadata collection.
Metadata collection
To enable data consumption and enforce the right level of Data Governance, data must be discoverable and understood. This starts by collecting metadata wrapped around data. Metadata should be leveraged to create a 360-degree view that represents everything there is to know about assets, whether data assets, data related assets, and Data Products...
