
- Create your Sources and integrate them with your data lakehouse.
- Define your source entities with Extracts.
- Build Pipelines to clean, filter, and manipulate your data.
- Orchestrate your pipelines with the Schedule feature.
- Analyze your data with the Notebook.
- Create Intelligent Apps for interactive dashboards, charts, and real-time insights.
- Deploy Agents for automated data processing, AI-driven analytics, and custom workflows.
Getting Started
Start your journey by setting up your environment and building your first project.Create your Datazone Account
You need an account to create and manage your data pipelines and apps.
Install Datazone CLI Package
Install the Datazone Python CLI to interact with the Datazone API via command line.
Next Steps
From Zero to Production
Follow our step-by-step guide to create your first project, pipelines, and schedules.
Build an Intelligent App
Build interactive dashboards from your pipelines with drag-and-drop components
and AI chat.
Explore API & Integrations
Integrate Datazone with your applications using REST APIs, webhooks, and
embedding options.
Core Concepts
Learn more about how Datazone handles Sources, Extracts, Pipelines, and Agents.