Case Study Automatic Control

From manual permissions to automatic control by tags

When data grows in Databricks, managing permissions on an object-by-object basis is no longer viable.

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Industry
Steel Multinational

-80%
Manual management

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↓ -80%
Manual permission management

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Automatic
Tag deployment

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↓ -45%
Inconsistencies between DEV and PRO

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↑ 50%
Speed to analyze lineage by use case.

BEFORE

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Tags were not automatically propagated between development and production.

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Permits had to be applied and reviewed manually.

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It was difficult to know which tables were involved in each use case.

NOW

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Tags are automatically deployed between environments.

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Permissions are applied according to tags and metadata.

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Lineage allows filtering tables by use case.

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THE PROBLEM

Manually managing permissions does not scale.


  • Every change required technical intervention.
  • Permits depended on manual reviews.
  • Tags did not automatically travel between environments.
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THE SOLUTION

Dynamic permissions based on tags.


  • Automatic tag deployment in Databricks.
  • Metadata table to relate group, permission and tag.
  • Periodic script that applies permissions according to the defined configuration.
  • Filter by tags in the lineage report.
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THE IMPACT

More control.
Less operational burden.


The organization can manage permissions in a scalable, traceable and automated way, reducing manual work and improving control over who accesses what data.

Transform your data platform

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Each data with its own tag. Every access under control.


Automates permit management, reduces manual work and scales data control without slowing down teams.