This session will include a moderated Q&A featuring questions from the live audience.
In every data architecture, be it a data mesh, data fabric, data warehouse, or data lakehouse architecture, metadata is indispensable. This is especially true for business users who develop their own dashboards and reports and create data science models. To offer frictionless access to metadata, it is important that, when designing a data architecture, time is reserved for designing a full-fledged metadata architecture. Metadata should not be an afterthought or treated like a neglected stepchild. It is the key to a successful data architecture.
In this session, Rick van der Lans will discuss:
- The importance of metadata in various architectures, including data mesh, data warehouse, and data lakehouse
- How to identify and analyze metadata requirements for all types of use cases, from self-service dashboards to data science models
- Principles for the design of a metadata architecture for frictionless delivery
- The organizational roles and skills required to deliver effective solutions