Skip to main content
Feedback

Data Lineage use cases

Updated 
note
Boomi Meta Hub Data Lineage is part of Boomi's Early Access program, which offers beta versions of Boomi innovations on an "as is" basis, with no warranties. These features are not final production releases, are unsupported under Boomi's service agreements and support services, and are not intended for production use. While Boomi will work to address issues encountered during the preview and welcomes participant feedback, any feedback provided — whether ideas, suggestions, code, or recommendations, oral or written — is irrevocably assigned to Boomi, LP. By participating, you confirm you have the authority to provide that feedback, will not assert any intellectual property claims against Boomi, and that Boomi may freely implement it without violating any party's rights. If a beta feature doesn't meet Boomi's standards or raises significant concerns, it may never reach general availability, and Boomi cannot guarantee any particular innovation will be released in a supported form. Note that some innovations may only be available as open source or for specific runtime configurations. Documentation may be provided as PDFs, online, or on Community forums.

Refer to the Early Access page to view current programs and request Early Access for a specific feature.

Overview

Data Lineage helps you answer questions about how data flows and what depends on it across your data landscape.

For data stewards and governance teams

Check the business meaning of data

Scenario: A team is building a customer analytics report and needs to confirm that a Data Hub model uses the business definitions approved by the governance team.

How lineage helps:

  • Search for the model on the Data Lineage page and open its lineage graph.
  • Review the glossaries attached to the model, shown as semantic nodes.
  • Open each business glossary in Meta Hub to check its definition and endorsement status.

For Data Integration developers

Accelerate new developer onboarding

Scenario: A new developer joins the team and needs to understand how data moves between systems.

How lineage helps:

  • Explore the lineage graph to see how data flows between Data Hub, Data Integration, and connected systems.
  • Use Associations on a node to list the entities directly upstream and downstream of it.
  • Find the glossaries attached to models, then open them in Meta Hub to learn business terminology.

Plan Data Flow refactoring

Scenario: A data team wants to consolidate several Data Flows that feed the same target.

How lineage helps:

  • Open the target in the lineage graph.
  • Expand upstream to see the sources and Data Flows that feed it.
  • Expand downstream to see what else depends on it before you make changes.

For data architects

Build a semantic map

Scenario: A data architect needs to see how business terms map to the data that holds them.

How lineage helps:

  • Find the glossaries attached to each Data Hub model.
  • Trace each model upstream and downstream to see where its data comes from and where it goes.
  • Identify models that have no glossaries attached.
On this Page