Enhanced UI and governance features encourage seamless cloud data collaboration across organizations
Domo , the AI and data products company, announced powerful new cloud integration capabilities with BigQuery, Google Cloud’s unified and intelligent data to AI platform enabling all users – regardless of their technical ability – to fully leverage their cloud data. Building on Domo’s integration with BigQuery, these updates deliver enhanced UI, improved governance, and streamlined data integration to joint customers.
“Our enhanced BigQuery integration represents a significant step forward in democratizing data access across organizations.” – Ben Schein, SVP of Product at Domo
“Our enhanced BigQuery integration represents a significant step forward in democratizing data access across organizations,” said Ben Schein, SVP of Product at Domo. “By streamlining the user experience and strengthening governance capabilities, we’re empowering both technical teams and business users to collaborate more effectively with their cloud data. The improved UI and enhanced integration features will help joint customers accelerate their data initiatives.”
New enhancements include:
- Cloud Integration Sharing: Addresses the challenges of limited integration access, enabling admins to share integrations while configuring permissions with greater control. Brings improved governance to multiple users, who can now manage integrations collaboratively, controlling access to accounts and their data more effectively.
- New UI for BigQuery Integration Configurations: Streamlines the entire integration setup, providing clear, step-by-step guidance, and enhanced documentation management which ensures all resources are organized and easily accessible.
- New UI for connecting BigQuery Tables: Connects and disconnects tables displaying BigQuery datasets via cloud integrations, streamlining data management to eliminate confusion. Provides clear mapping visibility, so users can save time with instant insight into which tables are connected to BigQuery data sources, and which are not.
- Cloud Data Location Configuration: Enables users to flexibly choose the project and dataset where output data for a table is written.
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