- Intugle Data Tools
Intugle Data Tools
Intugle’s GenAI-powered open-source Python library builds a semantic data model over your existing data systems. At its core, it discovers meaningful links and relationships across data assets — enriching them with profiles, classifications, and business glossaries. With this connected knowledge layer, you can enable semantic search and auto-generate queries to create unified data products, making data integration and exploration faster, more accurate, and far less manual.
Overview
What is Intugle Data Tools?
Intugle Data Tools is an open-source Python library powered by GenAI that builds a semantic data model over existing data systems, discovering meaningful links and relationships across data assets.
How to use Intugle Data Tools?
To use Intugle Data Tools, install the package via pip, configure a language model, and utilize the SemanticModel and DataProduct classes to build a semantic layer and generate data products.
Key features of Intugle Data Tools?
- Semantic Data Model: Transforms fragmented datasets into an intelligent semantic graph.
- Business Glossary & Semantic Search: Auto-generates a glossary and enables meaning-based search.
- Data Products: Instantly generates SQL and reusable data products, eliminating manual processes.
Use cases of Intugle Data Tools?
- Automating data profiling and classification for data engineers.
- Accelerating data readiness for data analysts and scientists.
- Enabling natural language queries for business analysts and decision-makers.
FAQ from Intugle Data Tools?
- Is Intugle Data Tools free to use?
Yes! It is an open-source project available for everyone.
- What programming language is used?
The library is built using Python.
- Can it handle large datasets?
Yes, it is designed to work efficiently with large and fragmented datasets.
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