Power BI miner app

✦TL;DR

Learn how to mine Power BI activity to generate usage and popularity metrics.

||

|Connect

The Power BI miner app mines Power BI activity events to generate usage and popularity metrics. Build it with the PowerbiMiner builder.

A miner does not create a connection or take a credential—it runs with an existing Power BI connection and reuses that connection's own credential, so you only supply the connection's qualifiedName.

Source extraction

Python

Mine activity from Power BI

from pyatlan.client.atlan import AtlanClient
from pyatlan.model.apps import PowerbiMiner

client = AtlanClient()

response = (
    PowerbiMiner(client)
    .connection( # (1)
        qualified_name="default/powerbi/1700000000",
    )
    .start_date(1704067200) # (2)
    .excluded_users("svc-account-1,svc-account-2") # (3)
    .run(name="powerbi-prod-miner") # (4)
)
print(response.slug, response.run_id)

1. Required. The exact qualifiedName of the existing Power BI connection to mine. Its credential is reused—no credential step is needed.
2. Optional. Earliest date from which to mine activity events. The Power BI API only retains the last 14 days; the default uses that full window.
3. Optional. Comma-separated user IDs (typically service accounts) whose activity shouldn't count toward popularity.
4. Always pass an explicit name for miners—a bare .run() defaults to the app id (powerbi-miner) and a second run collides.

Advanced config

Python

Advanced miner configuration

(
    PowerbiMiner(client)
    .connection(qualified_name="default/powerbi/1700000000")
    .advanced_config("...") # (1)
    .run(name="powerbi-prod-miner")
)

1. Set advanced configuration of the miner.