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 usable, classified, and 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 lakes
- Evolving schemas and nested structures
- Heterogeneous technologies and platforms
Automatic Discovery at Scale
No manual documentation or brittle processes.
- Automated scanning of data sources
- Continuous updates as data evolves
- Support for large and complex environments
- Always up-to-date technical visibility
Deep Data Profiling
Understand what your data actually contains.
- Value distributions and patterns
- Nulls, formats, ranges, and anomalies
- Statistical summaries and frequency analysis
- Early detection of quality and structure issues
Enrichment & Classification
Turn raw metadata into actionable intelligence.
- Semantic tagging and categorization
- Sensitivity and compliance classification
- Linking fields to business concepts
- Foundation for governance and quality rules
Data Dictionary Lifecycle
01
Discover
Scan diverse data sources and structures.
02
Profile
Analyze content, patterns, and anomalies.
03
Enrich & Classify
Add semantics, tags, and classifications.
04
Apply
Use enriched metadata across governance and analytics.
Yavantha transforms heterogeneous data into structured, enriched, and classified knowledge that powers governance and trust.
