We’re excited to announce the release of DataHub Cloud v0.3.14, focused on accelerating organization-wide adoption, enabling quality monitoring at scale, and empowering teams to customize how critical information is displayed.

Let’s get into it!

Ask DataHub in Teams

What’s new

Ask DataHub in Teams brings DataHub’s metadata-rich context directly to where data practitioners already collaborate. Users can ask DataHub directly in Microsoft Teams to find and understand data, and receive real-time alerts about data quality issues.

Why it matters

Context-switching between platforms creates friction in data workflows. Ask DataHub in Teams creates parity with our existing Slack capabilities while expanding DataHub’s presence in everyday workflows.

Here’s what it enables

• Seamless data discovery directly within Microsoft Teams without disrupting existing collaboration workflows
• Real-time data quality alerts delivered where your team already works
• Collaborative data problem-solving by asking DataHub directly in Microsoft Teams using both individual and team conversations

Screen recording showing Ask DataHub in Teams.

Learn more about Ask DataHub in Teams in our docs.

Note: This feature is currently in Private Beta. To configure DataHub for Teams for your organization, reach out to your customer success manager.

User Invite Recommendations

What’s new

Bring your most active data users into DataHub seamlessly. Our new User Invite Recommendations feature automatically identifies top users across your data platforms (including Snowflake, BigQuery, Looker, PowerBI, and more) and lets you send email invitations directly from DataHub with a single click.

Why it matters

Fast-track collaboration and unlock more value from DataHub by targeting the right users. Instead of relying on guesswork, DataHub analyzes real usage patterns across your connected platforms to give admins a clear view of who’s most engaged. The result: a strategic, data-driven onboarding process that prioritizes your most active data producers and consumers.

Here’s what it enables

• One-click invitations sent directly from the DataHub interface
• Enhanced team collaboration by connecting your most active data users in one central platform
• Improved data democratization by ensuring those who regularly work with data have access to critical context and metadata

Screenshot from DataHub showing an example of recommended users to invite.

User Invite Recommendations work with any source configured to extract usage metadata, including Snowflake, BigQuery, and popular BI tools like Looker and PowerBI. 

Learn more about User Invite Recommendations in our docs.

Bulk Setup Anomaly Detection

What’s new

Set up Anomaly Detection in bulk for all of your key data warehouse tables in just a few clicks to start getting notified about freshness, volume, and schema anomalies. With this bulk configuration capability, you can deploy AI-powered monitoring across multiple datasets at once, making it fast and effortless to ensure data reliability at scale.

Why it matters

Setting up data quality monitors one at a time is time-consuming and error-prone. With the new bulk creation tools, you can achieve data quality coverage in a fraction of the time with improved accuracy.

Here’s what it enables

• Comprehensive quality coverage is achieved in minutes instead of hours through bulk configuration
• Be the first to know when something goes wrong through continuous monitoring of freshness, volume, and schema anomalies

 Screen recording showing a user setting up Anomaly Detection in bulk.

Learn more about Bulk Setup Anomaly Detection in our docs.

Customizable Summary Tabs

What’s new

Brand new with this release, Customizable Summary Tabs give asset owners direct control over what appears on summary tabs for Domains, Glossary Terms, and Data Products. Asset owners can now pin specific properties, documentation, and related assets to create tailored summary views for these key organizational assets.

Why it matters

This feature enables owners to highlight the most relevant metadata for each Domain, Glossary Term, or Data Product, helping their fellow DataHub users quickly grasp the value of each asset within the broader data ecosystem.

Here’s what it enables

Customizable Summary Tabs for Domains, Glossary Terms, and Data Products empower your data experts to:

• Curate business context by selecting which properties, related assets, and documentation appear front and center for your users
• Simplify navigation of complex relationships by highlighting the most relevant connections within your Domain structures and Glossary hierarchies

Screen recording of an asset owner setting up Customizable Summary Tabs.

Learn more about Custom Summary Tabs in our docs.

Let’s build together

We’re building DataHub Cloud in close partnership with our customers and community. Your feedback helps shape every release. Thank you for continuing to share it with us.

Join the conversation in the DataHub Community.

See DataHub Cloud in action. Book a demo today.