carleton’s data warehouse
Post on 06-Jan-2016
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Carleton’s Data
Warehouse
Shedding light on our information
What is a data warehouse?
A data warehouse is a system that
• Gathers data from many systems
• Combines it into one database
• Conforms it to common standards
• Restructures it for easy– Exploration– Reporting– Data mining
Flow of Data
Advance
Recruitment Plus
OneCard
Spreadsheets
Excel Report
SPSS
Cognos BI
Access
Data Warehouse
Colleague
Survey Data
Example
Project 1 Components
Data warehousing implementation projects break down into a set of basic components that are common across nearly all deployments in all institutions
Components
Major project components:
• Project kickoff and planning• Initial business requirements analysis• Decide on first project• Purchase and installation of back-end technologies• Development of ongoing data catalog, data policy• Modeling of initial data marts• Development of initial ETL processes• Development of initial reports• Delivery of initial data marts, reports, documentation• Training
In Practice…
Data Warehouse Service– Project 1, includes DW infrastructure– Project 2– Project 3– Enhancements to Project 1– Project 4
Sample Data Catalog
Fields: data name, category, source, source table, source column, DW table, DW column, description, data stewards, access restrictions, update frequency, Meaning/Usage, data type, data range.
Sample Data Access Policy
Staffing and Resources
Richard & Julie, ITS
DW Data ManagementGroup?
Administrative ComputingAdvisory
Committee
TPPC
Existing User Groups
Next Steps
• We will schedule interviews with you over the next few weeks
• We will send you sample interview questions ahead of time
• We might also ask you for sample reports• We will take the information you give us,
combine it with information from other offices, and form a master ‘Needs Analysis’ document.
Questions?
Ha! Now they’ll have to add a “planet” field to
the data catalog!
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