Getting started

Before You Begin

Time Required: 30-60 minutes Prerequisites: Access to your data source (database, warehouse, etc.)

What You'll Accomplish:

✅ Connect your first data source ✅ View your data assets in the catalog ✅ Set up basic data quality monitoring ✅ Configure alert notifications

What You'll Need:

• Credentials with the right permissions for your data source

• Network access permissions (if behind VPN/firewall)

• Email/Slack for notifications (optional)

Role-Specific Guidance:

• 👨‍💻 Data Engineers: Follow the technical setup steps and configuration guides

• 🛡️ Governance Teams: Use this guide to understand what to request from your technical team and what outcomes to expect

• 👤 Admins: Focus on user management and access control sections

Quick Start: See Decube in Action

1. Login to Decube

Enter your credentials and click Login. You'll then be signed in and directed to Decube's landing page.

2. Connect Your Data Source (10-15 minutes)

Why this matters: This is the foundation - without a data source, Decube has nothing to monitor or catalog.

👨‍💻 For Data Engineers: Follow the technical setup guides below 🛡️ For Governance Teams: Share these links with your technical team and ensure they have the necessary credentials

Connecting your first data source when you start with an account is compulsory. Each data source may have different prerequisites or configurations to be made; so we've prepared a guide on How to connect data sources for each data source that you'd like to add.

Connection to your data source should take a few minutes depending on the volume of your data. Once your data source has been connected, you can then navigate to the Catalog module.

✅ Success indicator: You see tables appearing in the Catalog module

3. Explore Your Data Catalog (5 minutes)

Why this matters: Verify your data is being ingested and cataloged correctly.

Navigate to Catalog → Browse your connected tables and schemas

🛡️ For Governance Teams: This is where you'll see all your data assets organized and searchable. You can add business context, classifications, and glossary terms here.

✅ Success indicator: You can see your database tables, schemas, and basic metadata

Complete Setup: Configure Monitoring & Alerts

4. Enable Data Quality Monitoring (10-15 minutes)

Why this matters: Proactive monitoring prevents data issues from impacting downstream systems and AI/ML models.

Navigate to Data Quality → Config → Enable monitors for critical tables

Quick Setup Options:

• Freshness Monitoring: Detect when data stops updating

• Volume Monitoring: Catch unusual data volume changes

• Schema Drift: Alert on table structure changes

👨‍💻 For Data Engineers: Configure custom SQL monitors and set appropriate thresholds 🛡️ For Governance Teams: Focus on business-critical tables and data lineage impact

Detailed monitor setup guide →

✅ Success indicator: You see monitors active on your critical tables

5. Configure Alert Notifications (5-10 minutes)

Why this matters: Get notified immediately when data issues occur, enabling faster response times.

Navigate to My Account → Config Settings tab → Set up alert channels

Alert Options:

• Email notifications: Direct alerts to your inbox

• Slack integration: Team channel notifications

• Microsoft Teams: Collaborate on incident resolution

• Webhook endpoints: Custom integrations

👤 For Admins: Set up organization-wide notification policies 🛡️ For Governance Teams: Ensure stakeholders are notified of data quality issues

Alert setup guide →

✅ Success indicator: You receive a test notification

6. Set Up User Access (10 minutes)

Why this matters: Ensure your team can access relevant data while maintaining security and compliance.

Navigate to My Account → User Management

👤 For Admins:

• Invite team members with appropriate roles

• Configure group-based access policies

• Set up data source permissions

🛡️ For Governance Teams:

• Define data classification policies

• Set up approval workflows for sensitive data access

• Configure glossary terms and business context

User management guide → Group access controls →

✅ Success indicator: Team members can log in and see appropriate data

Congratulations! You're Set Up

What Happens Next:

• First 3 days: Decube analyzes your data patterns and establishes baselines. ML models learn your data behavior for accurate anomaly detection.

• Ongoing: Receive proactive alerts for any data quality issues

Explore Additional Features:

Data Discovery & Catalog:

Business Glossary & Governance:

Bulk Metadata Management: Use Export/Import to quickly update your Catalog metadata and Glossary terms in bulk through CSV workflows. Perfect for large-scale onboarding and governance updates.

Advanced Data Quality:

Public API (BETA): For technical users: Integrate Decube with your existing tools and workflows using our REST API. Access data catalog, quality metrics, lineage, and user management programmatically.

Need Help?

If you encounter any issues during setup:

• Email Support: [email protected]

• Documentation: Search our knowledge base

• Community: Join our user community for best practices

Next Steps: Once your data source is connected and monitoring is active, explore our advanced features like the Governance module, Collaboration features and granular access controls to build a comprehensive data trust platform.