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* Initial implementation for Dimensionality on Data Quality Tests * Fix ColumnValuesToBeUnique and create TestCaseResult API * Refactor dimension result * Initial E2E Implementation without Impact Score * Dimensionality Thin Slice * Update generated TypeScript types * Update generated TypeScript types * Removed useless method to use the one we already had * Fix Pandas Dimensionality checks * Remove useless comments * Implement PR comments, fix Tests * Improve the code a bit * Fix imports * Implement Dimensionality for ColumnMeanToBeBetween * Removed useless comments and improved minor things * Implement UnitTests * Fixes * Moved import pandas to type checking * Fix Min/Max being optional * Fix Unittests * small fixes --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
This guide will help you setup the Ingestion framework and connectors
OpenMetadata Ingestion is a simple framework to build connectors and ingest metadata of various systems through OpenMetadata APIs. It could be used in an orchestration framework(e.g. Apache Airflow) to ingest metadata. Prerequisites
- Python >= 3.9.x
Docs
Please refer to the documentation here https://docs.open-metadata.org/connectors
TopologyRunner
All the Ingestion Workflows run through the TopologyRunner.
The flow is depicted in the images below.
TopologyRunner Standard Flow
TopologyRunner Multithread Flow
