- Data Sets
The data is organized in data sets based on subject areas (e.g., Payroll, Student Records, Financials).
- Data Dictionary
How the data is structured, the links between tables, and which BusinessObjects folders to use.
The process of extracting data from source systems and bringing it into the data warehouse
- Refresh Schedules
Each data set has a specific refresh time, and the associated data set tables are unavailable while the refresh is occurring.
- API Directory
Pointers to great developer resources on campus.
Administrative Data Environments at U-M
Online Transaction Processing Databases (OLTP)
Online Transaction Processing (OLTP) Databases, where all data entry is performed, are also known as the "production" or "operational" databases. These databases are the repositories used for daily business transactions at the university. As illustrated, data from OLTP databases is extracted an organized into the data warehouse for use in reporting and analysis.
U-M Data Warehouse
The U-M Data Warehouse is a collection of data organized in data sets to support reporting activity for university business. The U-M Data Warehouse includes data extracted from OLTP systems, Legacy systems, and other central data sources.
Relationship Between OLTP Databases and U-M Data Warehouse
The administrative data environments at U-M supports different tasks.
|Online Transaction Processing System (OLTP)||U-M Data Warehouse (DW)|
|Primary Use||Supports critical University business processes via predefined, user-requested reports with real-time transaction processing in all data areas||Primary repository for ad hoc inquiry and reporting|
|Data||Offers real-time transaction processing in all data areas||Read-only, reformatted data for all data areas simplifies data structures and optimizes data accessibility|
|Refresh Schedule||Always current||Refresh schedule varies by data set|
|How to Access||From PeopleSoft via Wolverine Access, except for DAC System, which is accessed via CICS||From BusinessObjects via Wolverine Access|