In a previous article we covered six access control patterns, the advantages and disadvantages of each, and the scenarios in which they would be most appropriate.
Using AAD tokens it is now possible to generate an Azure Databricks personal access token programmatically, and provision an instance pool using the Instance Pools API. The token can be generated and utilised at run-time to provide “just-in-time” access to the Databricks workspace.
This article provides customers of Azure Data Lake (ADLS) and Azure Databricks with an introduction of the common approaches in which data can be accessed and secured in ADLS from Databricks.