Getting Started with DataBridge
Welcome to DataBridge! This guide will help you set up your first data pipeline from event collection to warehouse delivery in under 30 minutes.
Create Event Schemas
Event schemas are the foundation of data quality in DataBridge. They define the structure, types and validation rules for your events using the industry-standard JSON Schema format.
Create Data Source
A Data Source is any application or system that generates events and sends them to DataBridge. This can be a website, mobile app, backend server, IoT device, or third-party service.
Connect Data Store
A Data Destination is where DataBridge delivers your validated, high-quality events. This is typically a database where you run analytics, build dashboards, or train ML models.
Configure Data Pipeline
A Data Pipeline connects your data sources to destinations, routing validated events through optional transformations. Pipelines are the glue that ties together schemas, sources and warehouses into a complete data flow.
Configure Quality Alerts
Stay informed about data quality issues with alerts. DataBridge monitors your datasets and notifies you when quality checks fail or data profiles show unexpected changes.