Skip to main content
Question

Extracting DQ Metadata from Ataccama ONE

  • January 26, 2026
  • 1 reply
  • 40 views

Hi everyone,

I’ve seen several posts about extracting data‑quality metadata from Ataccama ONE for Monitoring projects, using approaches like GraphQL or Metadata Reader steps. I wanted to ask if anyone has been successfully able to extract this metadata using either method.

We’re running into significant challenges with both approaches:

  • GraphQL: When drilling down to the table or data‑element level, the underlying query structure becomes extremely complex and difficult to interpret. It’s very time-consuming, and we haven’t been able to construct workable queries.
  • Metadata Reader steps: This option requires joining multiple metadata streams, and the resulting plan becomes overly complicated.

I’m trying to understand whether anyone has successfully built Data Quality dashboards by extracting metadata from Ataccama ONE, loading it into a database(Databricks), and connecting it to Power BI.

If you’ve done this or have guidance, I would really appreciate connecting with you to discuss your approach or have any template that can be shared.

Thanks in advance for your help!

1 reply

Forum|alt.badge.img+1
  • Universe Traveller
  • January 28, 2026

Hi Devi,

At our company we have successfully implemented a solution using the metadata reader steps. Specifically we use the DQ steps. 

As you mention correctly, it becomes quite complicated and has taken us significant time to properly implement this. Unfortunately I can't give a simple step by step, but I'll give a description of our setup.

In Ataccama desktop we have built several plans and workflows to extract all the data that we need (Monitoring projects incl project runs, Catalog Items, Attributes, Terms, DQ Rules). 

This gets written into a MSSQL database. We designed our tables to our specific requirements, with several dimension tables and a facts table for the actual (aggregated) dq results. 

This is then used as input for a SSAS model, to which a Power BI report connects on the report server. 

 

There are plenty of guides and posts on the community that can help with this, but be prepared to put in quite some effort.