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Azure Data Lake

Connect Azure Data Lake to Queringo. Setup, fields, testing, editing, and alternatives.

Updated May 27, 2026

ADLS Gen2 storage.

Connect Azure Data Lake form in Queringo

At a glance

CategoryData lakes
AuthCredentials
PlanScale and above

Setup

  1. Open Connect source

    In the app, go to Data sources and choose Connect source. Open the Data lakes tab and select Azure Data Lake.

  2. Enter connection details

    Provide the host, database name, and a read-only user and password. Enable SSL/TLS if your database requires it, or configure an SSH tunnel for a private network.

  3. Save the connection

    Queringo tests the connection before saving, then discovers the schema. PII is flagged and masked by default during discovery.

Where to find these in your provider

  1. In Azure portal, open the storage account holding your ADLS Gen2 container.
  2. Create or pick a service principal and grant it the Storage Blob Data Reader role on the storage account or container.
  3. From Access keys (or service principal credentials), copy the credentials Queringo will use.
  4. Paste the account name, container, and credentials into the connection form.

Test the connection

Queringo runs a connection test as part of saving. If it fails, the error message indicates what to check (credentials, network reachability, or scope). From Data sources, you can re-run Test connection on the source row any time, for example after rotating a secret or changing network rules.

Edit or rotate

To change connection details (host, port, or database), open the source from Data sources and edit it. To swap only the secret (password, key file, or token), use Rotate credentials so existing dashboards and alerts keep working. See Rotating credentials.

Reference

Suggest a different connector

Don't see what you need? In the Connect a data source picker, choose Request it. Queringo bundles votes from every workspace asking for the same one and prioritizes accordingly.

What's next

For the category overview and shared options, see Data lakes. To keep sources healthy, see Managing sources.