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What are the different ways to expose Azure Data Lake Gen2 to Customers for querying purpose

In the present Business scenario, our complete platform is based on MS SQL Server (Source -> ETL -> Target). For BI reporting purpose, we are creating customer-wise data marts and providing them with the necessary access. So they either directly connect to database with provided credentials or they use built in query editor panel in the provided application.

Our plan is to migrate things to Azure Data Lake platform. However with this new change, we would want to continue the data flow pattern and grant access to customers to their specific Data Lake BLOB's, which is arranged in database-table fashion manner.

So the question is, is it possible to expose a specific BLOB to a specific customer in any way ? If yes, then how and if not, then what are the alternatives so that customer can access the Data Lake for querying purpose ?

PS: I know its possible to push data from data lake to database and grant access to the database. However we are looking something on the Data Lake platform itself, if possible.

In the present Business scenario, our complete platform is based on MS SQL Server (Source -> ETL -> Target). For BI reporting purpose, we are creating customer-wise data marts and providing them with the necessary access. So they either directly connect to database with provided credentials or they use built in query editor panel in the provided application.

Our plan is to migrate things to Azure Data Lake platform. However with this new change, we would want to continue the data flow pattern and grant access to customers to their specific Data Lake BLOB's, which is arranged in database-table fashion manner.

So the question is, is it possible to expose a specific BLOB to a specific customer in any way ? If yes, then how and if not, then what are the alternatives so that customer can access the Data Lake for querying purpose ?

PS: I know its possible to push data from data lake to database and grant access to the database. However we are looking something on the Data Lake platform itself, if possible.

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