Azure Datalake

Last updated: September 8, 2025

The Azure Data Lake integration lets Zams connect to your storage account to manage files and directories. You can browse files, read and upload content, append data, and delete files — directly from natural language prompts.

Connection Method

  • Type: OAuth v2

  • Requirements:

    • An active Azure account with access to Data Lake Storage

    • Permissions for the storage account and filesystem (container)

  • Connect in Zams

    1. Go to Integrations → Azure Data Lake.

    2. Click Connect and sign in with your Azure account.

    3. Approve requested permissions. Once complete, Data Lake actions are available to your agents.

Available Functionalites

Funcionality

Description

List Files & Directories

Browse files and subfolders in a specified path within a Data Lake filesystem. Defaults to root if no path is provided.

Read File

Retrieve the full content of a file from the Data Lake.

Upload File

Edit a file with new content in a chosen path.

Delete File

Remove a file from the Data Lake permanently.

Example of Use

  • Browse files

“@Azure Datalake list all files in the /datasets/2024/ directory of my analytics container.”

  • Read a dataset

“@Azure Datalake open the file /datasets/2024/sales.csv and show me its contents.”

  • Upload a new file

“@Azure Datalake upload a file called notes.txt to the /shared/ folder with the text: ‘Team kickoff notes for Q1.’”

  • Update logs

“@Azure Datalake append ‘Job finished successfully at 10:42 AM’ to /logs/process.log.”

  • Clean up

“@Azure Datalake delete the file /temp/old_report.csv from my Data Lake.”