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Zoom Logs connector

Beta

This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.

The managed Zoom Logs connector in Lakeflow Connect allows you to ingest user sign-in/sign-out activity logs and admin operation logs from Zoom into Databricks.

Feature availability

Feature

Availability

UI-based pipeline authoring

Green check icon Supported

API-based pipeline authoring

Green check icon Supported

Declarative Automation Bundles

Green check icon Supported

Incremental ingestion

Green check icon Supported

Unity Catalog governance

Green check icon Supported

Orchestration using Databricks Workflows

Green check icon Supported

SCD type 2

Red X icon Not supported

Zoom audit and activity logs are append-only.

Automated schema evolution: New and deleted columns

Green check icon Supported

Automated schema evolution: Data type changes

Red X icon Not supported

Automated schema evolution: Column renames

Red X icon Not supported

Requires a full refresh.

Authentication methods

Authentication method

Availability

OAuth U2M

Red X icon Not supported

OAuth M2M (Server-to-Server OAuth)

Green check icon Supported

Basic authentication (username/password)

Red X icon Not supported

What to know before you start

Topic

Why it matters

Databricks user persona

The workflow depends on your Databricks user persona:

  • Single-user: An admin user creates a Unity Catalog connection and an ingestion pipeline.
  • Multi-user: An admin user creates a connection for non-admin users to create pipelines with.

Authentication method

The steps to create a connection depend on the authentication method you select.

Interface

The steps to create a pipeline depend on the interface.

Ingestion frequency

The pipeline schedule depends on your latency and cost requirements.

Common patterns

Depending on your ingestion needs, the pipeline might use configurations like history tracking, column selection, and row filtering. Supported configurations vary by connector. See Feature availability.

Start ingesting from Zoom Logs

The following table has an overview of the end-to-end Zoom Logs ingestion flow, based on user type:

User

Steps

Admin

  1. Configure Zoom to enable authentication from Databricks. See Configure authentication to Zoom.
  2. Use Catalog Explorer to create a connection to Zoom so that non-admins can create pipelines. See Create a Zoom Logs connection.

Non-admin

Use any supported interface to create a pipeline from an existing connection. See Ingest data from Zoom Logs.