@Marc Barnett , Databricks’ Lakehouse architecture is the ideal data architecture for data-driven organizations. It combines the best qualities of data warehouses and data lakes to provide a single solution for all major data workloads and supports use cases from streaming analytics to BI, data science, and AI. To understand what a Lakehouse architecture is start with this https://databricks.com/blog/2020/01/30/what-is-a-data-lakehouse.html?itm_data=lakehouse-link-lakehou...
- Data quality can be taken care by Databricks’ Delta Live tables. Here is a comparison with traditional ETL and what Databricks offers https://databricks.com/blog/2021/09/08/5-steps-to-implementing-intelligent-data-pipelines-with-delta...
- For Version control: https://docs.databricks.com/notebooks/github-version-control.html
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