What Is Drilling Across? – Data Warehouse Fundamentals

What Is Drilling Across In Terms Of Data Warehouse Fundamentals? (Answers)

DATABASE WAREHOUSE FUNDAMENTALS – Drilling Across as a data warehouse theme emphasizes the importance of integrating another measured fact from a new fact table.

However, using drill-across operations means that you have to share defined dimensions with the fact table used in the original query. Furthermore, these dimensions require us to name them in the original query as they contribute row headers.

What Is Drilling Across? – Data Warehouse Fundamentals

Additionally, these dimensions should be seen in the “FROM” clause of the SQL code. Moreover, this will be integrated in the fact table using the relationship of a foreign and primary key.

But, we need to ensure that the newly created fact table supports these exact same row headers – failure to do so would render the context of the answer set row useless.

Meanwhile, choosing drill-across allows you to either send one simultaneious SQL request to the two fact tables or send two separate ones. Still, choosing the former seems to be the cleaner option.

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