So you need to use the following example code in a Databricks notebook to mount the storage account to DBFS: Python # Configuration for the storage accountstorage_account_name ="your_storage_account_name"container_name ="your_container_name"# Mount the storage account to DBFSdbutils....
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If you are looking specific to Azure Blob storage, you can create a mount point and then create the dataframe using the mount point. This article explains how to access Azure Blob storage by mounting storage using the Databricks File System (DBFS) or directly using APIs. If you...
To address these issues, Arup Nanda explained that the heart of the slide above is the Data Ingestor (versus ETL). All data producers/contributors send data to the Ingestor. The Ingestor then registers the data so it’s in the data catalog, it does a data quality check and it tracks the...