Data Dictionary
Understand the structure and meaning of any data
Yavantha's data dictionary automatically analyzes, profiles, and enriches diverse data — turning raw structures into actionable, classified, governed technical knowledge.
Built for data diversity
Modern data comes in many forms. The dictionary adapts to all of them.
- Structured, semi-structured and unstructured data
- Databases, files, streams, APIs and data lakes
Automatic discovery at scale
No manual documentation, no fragile processes.
- Automated scanning of data sources
- Continuous updates as data evolves
Deep data profiling
Understand what your data actually contains.
- Value distributions and patterns
- Early detection of quality and structural issues
Enrichment and classification
Turn raw metadata into actionable intelligence.
- Semantic tagging and sensitivity classification
- Linking fields to business concepts
Data dictionary lifecycle
1
Discover
Scan diverse data sources and structures.
2
Profile
Analyze content, patterns, and anomalies.
3
Enrich & Classify
Add semantics, tags, and classifications.
4
Apply
Use enriched metadata for governance and analytics.
Yavantha turns heterogeneous data into structured, enriched, classified knowledge that powers governance and trust.
