Core Primitives
The fundamental building blocks of the platform.Datasets
Collections of structured data that you can query, share, and collaborate on
Attributes
The individual fields and columns that make up datasets
Relationships
How datasets connect and relate to each other
Data Planes
Where your data lives and is processed
Control Plane
How Narrative orchestrates data collaboration
Rosetta Stone
Narrative’s approach to schema normalization and data mapping.Overview
What Rosetta Stone is and why it matters
How It Works
The mechanics of automatic schema mapping
Normalization Model
How data gets normalized across sources
NQL
The design and philosophy behind Narrative Query Language.Design Philosophy
Why NQL exists and how it differs from traditional approaches
SQL Comparison
How NQL relates to SQL and when to use each
Type System
How NQL handles data types and type safety
JOIN Performance
Why certain JOIN patterns cause performance problems
Materialized Views
Pre-computed query results for performance and caching
Incremental View Maintenance
How NQL optimizes materialized view refreshes
Architecture
How the platform is built and why.Query Processing
How queries are compiled, optimized, and executed
Data Flow
How data moves through the platform
Security Model
How Narrative protects your data