When you start working with real data in Azure Databricks, one of the first challenges you face is getting your data into the environment. Your data typically lives in Azure storage — a Data Lake or Blob Storage account — and your Databricks notebooks need a way to access it. Mounts are the classic solution to this problem. They create a shortcut inside Databricks that points to your external storage, making cloud storage feel like a local directory. This guide walks through everything from the underlying file system concepts to the full step-by-step setup, including creating the Azure resources, securing credentials, and mounting the storage.
Category: Integrations
connecting to Azure services (Data Factory, Synapse, Power BI, Event Hubs), external tools, APIs