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.
Classification Tags: Tiers
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.
Add a Tier to Data Asset
Set up the ingestion pipeline right from the UI.