- Data profiling
- Dimension and fact table loading
- Analysis Services cube processing
Among the various applications of SQL Server Integration Services (SSIS), one of the more common is loading a data warehouse or data mart. SSIS provides the extract, transform, and load (ETL) features and functionality to efficiently handle many of the tasks required when dealing with transactional source data that will be extracted and loaded into a data mart, a centralized data warehouse, or even a master data management repository, including the capabilities to process data from the relational data warehouse into SQL Server Analysis Services (SSAS) cubes.
SSIS provides all the essential elements of data processing — from your source, to staging, to your data mart, and onto your cubes (and beyond!). A few common architectures are prevalent in data warehouse solutions. Figure 12-1 highlights one common architecture of a data warehouse with an accompanying business intelligence (BI) solution.
The presentation layer on the right side of Figure 12-1 shows the main purpose of the BI solution, which is to provide business users (from the top to the bottom of an organization) ...