Bulk Copy Data Sharing Pattern for Applications in Azure with Data Explorer, Data Factory & Cosmos DB
Read OriginalThis technical article details an implementation pattern for sharing large datasets (high volume, low frequency) between systems in Azure. It addresses challenges of scaling beyond simple sharing methods, comparing data consumption patterns. The focus is on using Azure Data Explorer, Data Factory, and Cosmos DB to create a solution that avoids performance issues by serving data from read-only replicas instead of directly from compute+storage services.
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