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Case studyData engineering & the warehouse/lakehouseAmazonDatabricks
AWS Big Data Blog · Read source ↗

United Airlines employs AWS Glue Data Catalog federation to enable Amazon Redshift Serverless to query data managed by Databricks Unity Catalog. This setup avoids data duplication and uses AWS Lake Formation for governance.

MyDataWork POV — United Airlines' decision to leverage AWS Glue Data Catalog federation for querying Databricks-managed data is a smart move. It avoids the common data duplication issues, streamlining access to essential insights. By utilizing resource links and AWS Lake Formation, United ensures strong governance while maintaining agility. This approach exemplifies how enterprises can effectively weave together disparate data systems, creating a cohesive data environment that supports both operational efficiency and strategic decision-making. It's a practical model for others navigating the complexities of enterprise data management.
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