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 a 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
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