diff --git a/src/images/databricks-what-are-we-injesting.png b/src/images/databricks-what-are-we-injesting.png new file mode 100644 index 000000000..d79fe7a6c Binary files /dev/null and b/src/images/databricks-what-are-we-injesting.png differ diff --git a/src/markdown-pages/workshops/databricks/data-warehousing-with-databricks.md b/src/markdown-pages/workshops/databricks/data-warehousing-with-databricks.md new file mode 100644 index 000000000..95cff1d1b --- /dev/null +++ b/src/markdown-pages/workshops/databricks/data-warehousing-with-databricks.md @@ -0,0 +1,21 @@ +--- +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) +