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Mar 31, 11 PM - Apr 2, 11 PM
The biggest Fabric, Power BI, and SQL learning event. March 31 – April 2. Use code FABINSIDER to save $400.
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This quickstart explains how to reference data stored in external ADLS account and use it in your Data science projects. After completing this quickstart, you'll have a shortcut to ADLS storage in your lakehouse and a notebook with Spark code that accesses your external data.
In Azure create ADLS Gen2 account
Enable hierarchical namespaces
Create folders for your data
Upload data
Add your user identity to BlobStorageContributor role
Get storage account endpoint
Open your lakehouse to get to Lakehouse Explorer
Under files create a folder where you reference data
Right select (...) and select New Shortcut next to the folder name
Select External Sources > ADLS Gen2
Provide shortcut name, storage account endpoint, end your data folder location in storage account
Select create
Events
Mar 31, 11 PM - Apr 2, 11 PM
The biggest Fabric, Power BI, and SQL learning event. March 31 – April 2. Use code FABINSIDER to save $400.
Register todayTraining
Learning path
Implement a data lakehouse analytics solution with Azure Databricks DP-3011 - Training
Implement a data lakehouse analytics solution with Azure Databricks. (DP-3011)
Certification
Microsoft Certified: Azure Data Scientist Associate - Certifications
Manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning and MLflow.
Documentation
Options to get data into the Lakehouse - Microsoft Fabric
Learn how to load data into a lakehouse via a file upload, Apache Spark libraries in notebook code, and the copy tool in pipelines.
What is the SQL analytics endpoint for a lakehouse? - Microsoft Fabric
Learn about the SQL analytics endpoint and how to run SQL queries directly on Fabric lakehouse tables.
Lakehouse management API - Microsoft Fabric
Learn how to manage your lakehouses in Microsoft Fabric with the Fabric REST API, including how to create, update, and delete a lakehouse.