[Feature]: Automatic dashboard generation using semantic knowledge

Open
#10 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
data-engineering, data-visualization

Research direction

The issue names no files, tests, or entry points. Start by mapping how data products, contracts, schemas, and properties are represented, then identify the existing knowledge-graph integration and dashboard generation path. Done means an agreed design and implementation for automatically connecting datasets by semantic meaning and generating dashboards.

Written by the indexing model from the issue text.

Description

scope/ontology type/feature
Is there an existing issue for this?
  • I have searched the existing issues
Problem statement

Semantic knowledge could be used to connect datasets in an automated manner.

Proposed Solution

Implement dashboard generation based on knowledge graph. With semantic resources linked to data products > contracts > schemas (tables) > properties (columns) it is possible to connect datasets based on semantic meaning.

Additional Context

No response

Dominant language
Python
Stars
212
Forks
71
Avg merge
4d 10h
Merged PRs (30d)
43

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from databrickslabs/ontos

All issues in databrickslabs/ontos

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.