Data silos and a lack of collaboration between teams have been long-standing challenges in data management. This is where data mesh comes into play as an architectural and organizational paradigm, providing an solution by enabling decentralized teams to work collaboratively and share data in a governed manner across the enterprise.
Dremio’s semantic layer provides a particular useful tool for achieving both of these needs and in this video, we will discuss:
- The needs of a data mesh (Data Products, Computational Governance, Self-Service)
- The open and decentralized nature of the Dremio Open Data Lakehouse
- How data products can be created and shared with Dremio’s semantic layer
- How governance can be architected centrally using fine-grained access rules
- How to unify your data products across the enterprise
- How the Dremio to Dremio connector enables sharing between domains