Antoine Amend

Supporting pyspark for data processing

4

Setting data model is one thing, ensuring execution of production data pipelines is another. Spark being now de facto standard for enterprise data processing, this module programmatically interprets FIRE entities...

Databricks PURE client versions

1

Back processing previous PURE client versions for databricks integration. As SDLC maven plugin uses production version by default (currently set to `v1_22_0`), pure models that include APISpecs or DatabricksDatasource could...

Hardcoded dependency version for model pom.xml

2

## Feature Request ### Description of Problem: When packaging legend model to gitlab, we generate a multi module maven project. The project is built using specific legend SDLC and legend...