Databricks http request / webhook from SQL notebook - Invoke AI Agent or post message to Slack

Описание: With the http_request function in Databricks, you can call an endpoint directly from your SQL code. This can be handy for several use cases, such as invoking an AI agent (e.g., in N8N), posting a message to Teams (via Power Automate), and so on

The http_request function allows you to make HTTP calls and webhooks to external services, opening several use-cases for real-time integrations and automated workflows directly from SQL. This powerful function enables seamless connectivity between Databricks and virtually any web-based service or API.

Marketing Technology Integration
• Call your Tag Manager Server-side container to orchestrate conversion tracking and attribution
• Send real-time customer events to marketing platforms like HubSpot, Salesforce, or Adobe Analytics
• Trigger personalized campaigns based on data insights processed in Databricks

AI Agent Orchestration
• Invoke external AI agents and LLMs for enhanced data processing capabilities
• Integrate with OpenAI, N8N, Azure AI, or other machine learning services
• Create intelligent workflows that combine Databricks analytics with external AI tools

Real-Time Notifications and Alerts
• Send Slack/Teams messages for data quality alerts, pipeline status updates, or business metric thresholds
• Trigger email notifications through services like SendGrid or Mailgun

Data Synchronization and ETL
• Push processed data to external systems like CRM platforms, data warehouses, or APIs
• Trigger downstream data pipelines in tools like Airflow, Prefect, or custom orchestration systems
• Send enriched data to business intelligence tools for immediate visualization

Webhook Processing
• Process incoming webhook events from payment providers, e-commerce platforms, or IoT devices
• Create reactive data pipelines that respond to external system events
• Build event-driven architectures that scale with your business needs
External Service Integration
• Connect to REST APIs for data enrichment (weather data, financial feeds, social media APIs)
• Integrate with cloud services like Azure Functions, AWS Lambda, or Google Cloud Functions
• Call third-party analytics services for advanced computations or specialized algorithms

Technical Capabilities
The function supports all standard HTTP methods (GET, POST, PUT, DELETE, PATCH) and returns both status codes and response data, making it perfect for building robust, production-ready integrations. With built-in authentication through Unity Catalog connections, you can securely connect to any external service while maintaining enterprise-grade security standards.

Whether you’re building real-time analytics dashboards, automating marketing workflows, or creating intelligent data pipelines, the http_request function transforms Databricks from a standalone analytics platform into a connected hub for your entire data ecosystem.

https://docs.databricks.com/aws/en/sq...