Masthead Data
  • Introduction
    • What is Masthead Data?
    • Data Anomaly Detection
    • Pipeline and Model Observability
    • Data Quality Scans
    • Metadata management: Column-level lineage and Data Dictionary
  • GET STARTED
    • Quickstart
  • Data Products
    • Data Products
    • Domains
  • COST INSIGHTS
    • Pipeline Costs
      • Compute model adjustments
    • Storage Costs
  • INTEGRATIONS
    • Analytics Hub
    • Looker
    • PagerDuty
    • Power BI
    • Slack
  • Settings
    • Account settings
  • Resources
    • Release Notes
    • Compliance & Trust Center
    • Support
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  1. INTEGRATIONS

Analytics Hub

Masthead integration with Analytics Hub helps to identify your shared BigQuery data assets, create Data Products definitions and assign those assets a prioritized status. Monitoring alerts are automatically sent to the team whenever these data assets have incidents related to them.

After the integration you can see the Data Products created with all the corresponding metadata and insights and further adjust priority of each data asset on the Dictionary page.

Integration via UI:

1

Open Integrations page

2

Click on Connect to Project button in Analytics Hub section

3

Follow the OAuth dialogue to provide permissions

Masthead doesn't store OAuth token.

Integration with Terraform:

1

Open Masthead agent TF module and select analytics-hub submodule

2

Follow the guideline in the description to deploy the resources required for integration.

Masthead agent deployment Terraform module is an open source project.

Cloud resources configured by the integration:

  • IAM role Analytics Hub Viewer 

analyticshub.dataExchanges.get
analyticshub.dataExchanges.getIamPolicy
analyticshub.dataExchanges.list
analyticshub.listings.get
analyticshub.listings.getIamPolicy
analyticshub.listings.list

Last updated 1 month ago