What is Tiering | OpenMetadata Data Tiering Guide

Tier datasets based on usage, freshness, and governance to guide discovery and prioritization.

What is Tiering

Tiering is an important concept of data classification in OpenMetadata. Data Producers and Consumers can set business importance of data by setting Tiers. Tier 1 is the most important data of an organization.

In OpenMetadata, Tiers are System Classification tags and can be accessed from Govern > Classification > Tier.

In case of tiering, it is easiest to start with the most important (Tier 1) and the least important (Tier 5) data. Once the Tier 1 or most important data is identified, organizations can focus on improving the descriptions and data quality. The Data Insights in OpenMetadata helps identify the unused datasets as Tier 5. The Tier 5 datasets can be deleted periodically to declutter. Other tiers can be added as per your organizational needs. Tags can be added to further mark the data assets.

Tier	Impact	Used for	Type of Impact	Usage
Tier 1	High	External & Internal Decisions	Revenue, Regulatory, & Reputational	Highly used
Tier 2	Moderate	Some External & Mostly Internal Decisions	Some Regulatory	Highly used
Tier 3	Low	Internal Decisions	-	Highly used (Top N percentile)
Tier 4	Low	Internal Team Decisions	-	-
Tier 5	Individual owned	Unused Datasets	-	-

How to Add Tiers

From the Explore page, select a data asset and click on the edit icon for Tier. Select the appropriate tier. Clicking on the arrow next to the tier will provide a description of the tier.

Set Up Data Insights Ingestion

Set up the ingestion pipeline right from the UI.