Enabling automatic or scheduled mirroring of OneLake data across Azure regions would significantly enhance the platform's suitability for global enterprise scenarios.
Key benefits of this capability include:
- Improved resilience through cross-region redundancy for disaster recovery and high availability
- Reduced latency by allowing data access from geographically closer regions
- Simplified data operations, eliminating the need for manual synchronization via Dataflow Gen2 or ADF pipelines
- Potential cost optimization, especially if replication avoids outbound data transfer charges
Recommended configuration options:
- Selecting destination regions for mirroring
- Choosing between read-only and read/write replicas
- Defining sync intervals (e.g., near real-time, hourly, daily)
This feature would align OneLake with enterprise expectations for multi-region data availability and performance.
1 Comment
- This idea is must item of enterprise use case. After coming this future, each global company can be use nearest region avoid latency effect. I would like to addition of requirement for privilege copy also. When realized this function, I will fully move over from Snowflake.
Recent ideas
executeDaxQueries-like API call with effectiveUserName on SSO-enabled model with Service Principal
Please provide a way for a service principal to execute DAX - with an effective user name - against an SSO-enabled directlake semantic model and get per-user results that respect lakehouse OneLake Se...
