feat(databricks): data warehousing with databricks

src/markdown-pages/workshops/databricks/data-warehousing-with-databricks.md

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+---
+title: Data Warehousing with Databricks
+date: 2025-10-4
+tags:
+  - course
+  - databricks
+  - data-warehouse
+---
+
+https://customer-academy.databricks.com/learn/course/4021/data-warehousing-with-databricks?hash=659d47b87224f702c6caee964e056b68982375bb&generated_by=1251190
+
+## TPC-DI
+
+Specification used. Industry standard benchmark for data integration and ETL, focused on performance and cost.
+
+- Extract and combine data from a variety of data source formats, transforming that data into a unified data model representation and loading it into a data store.
+- The TPC-DI benchmark combines and transforms data extracted form an On-Line Transaction Processing (OTLP) system along with other sources of data and loads it into a warehouse.
+- The source and destination data models, transformations, and rules were designed to be broadly representative traditional/modern data integration requirements.
+
+![What are we ingesting?](../../../images/databricks-what-are-we-injesting.png)
+