📄️ Tenant, User & Groups
Complete guide to managing tenants, users, and groups in DataFuse AI. Learn how to set up multi-tenant workspaces, create user groups, configure permissions, and manage role-based access control (RBAC).
📄️ Engine
Complete guide to configuring and managing engines in DataFuse AI. Learn how to set up Databricks, Apache Livy, and native engines for data processing, query execution, and pipeline operations. Troubleshooting and optimization tips included.
📄️ Driver
Complete guide to managing drivers in DataFuse AI. Learn how to upload, edit, and delete data source drivers for databases, cloud storage, and APIs. Driver management and troubleshooting guide.
📄️ Connection Profile
Learn how to create and manage connection profiles in DataFuse AI. Connect to databases (PostgreSQL, MySQL, MSSQL, MongoDB), cloud storage (AWS S3, Azure, GCP), and APIs. Complete guide with setup instructions and troubleshooting.
📄️ Query
Complete guide to running SQL and NoSQL queries in DataFuse AI. Learn query building, auto-completion, query history, saved queries, and data exploration across multiple database connections.
📄️ Pipeline
Learn how to build, transform, and automate data pipelines in DataFuse AI using drag-and-drop interface. Complete guide to ETL pipeline creation, transformations, data sources, destinations, and workflow automation.
📄️ Job
Learn how to create, schedule, and manage automated jobs in DataFuse AI. Schedule pipelines and queries to run automatically on daily, weekly, or custom schedules. Job monitoring, notifications, and history management.
📄️ File Explorer
Learn how to use the File Explorer in DataFuse AI to manage files, folders, and data assets. Organize, copy, move, delete, and browse your data files across the platform with ease.
📄️ Dashboard
Complete guide to the DataFuse AI dashboard. Learn how to monitor data operations, view system health, track job status, pipeline progress, and access key metrics and insights in real-time.