ETL-free analysis scheme based on virtual data layer
MindsDB's federated query engine provides the following safeguards:
- Zero data movement: By
CREATE DATABASEstatement establishes a virtual connection, keeping the source system data stored in place - real time synchronization: Utilize source system native APIs (e.g. MySQL binlog, Slack event API) to get the latest changes
- safety control::
1. Setting in the connection configurationread_onlyparameters
2. AdoptionGRANTstatement assigns column-level access
3. Query logs provide a complete record of all data access behavior - fault tolerance mechanism: When a data source is not available, the system provides cached data and marks it as
stalestate of affairs
Implementation Recommendation: Financial industry customers use Docker cluster deployment in their production environments through the-vParameter-mounted SSL certificates enable encrypted communications to meet compliance requirements while maintaining sub-second query responses.
This answer comes from the articleMindsDB: An Open Source Platform for Connecting Data from Multiple Sources and Querying with SQL and AIThe
May not be reproduced without permission:AI productivity tools " How to Avoid Data Migration Risks to Achieve Real-Time Cross-System Analytics?
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