Datta Documentation
Guides, references and use cases for the data & AI platform — from your first search to cluster operations.
Get Started
What DATTA is, how to navigate the platform and organize your work.
AI Workspace & Chat
Smart search, knowledge-base chat, prompts and notebooks.
DATTA BI
Dashboards, panels, semantic models, maps, drilldown and refresh.
DATTAX & Data Prep
The DATTAX language, GDS catalog, streaming and visual data preparation.
Extract & Pipelines
Data extraction, copilot-assisted pipelines and background executions.
Screening & Audit
Batch case screening, rule generation and validation, audit and appeals.
BPM Engine
Executable BPMN processes: modeling, instances, monitoring and events.
Knowledge Catalog & Curation
Document ingestion, knowledge curation, governance and export.
Intelligent Query Layer (SIQL)
Natural-language queries over the data mesh: NL-to-SQL, discovery and engineering.
Integrations
External data connections, drivers, protocols and content sources.
Management
RBAC, contexts, visibility, execution history and configuration persistence.
Multi-Agent System
How DATTA's AI agents collaborate: multi-agent copilot and LLM orchestration.
Design System
DATTA visual identity: UX, components and input patterns.
API
Integrate external systems with DATTA: authentication, endpoints and call examples. All platform API reference lives here.
FAQ
Frequently asked questions about the platform.
Use Cases
Complete end-to-end flows solved with DATTA.
Platform & Operations
Internal architecture, runbooks, infrastructure and admin consoles. Restricted access.