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MIS 4346/5346 Data warehousing. Data Warehouse to BI. Agenda. Review Preparing the DW for Analysis Microsoft BI Platform Overview Building a Cube in SSAS. DW Development Approach: Kimball. Methodology DW Project Lifecycle Business requirements Business Requirements Documentation
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MIS 4346/5346 Data warehousing Data Warehouse to BI
Agenda • Review • Preparing the DW for Analysis • Microsoft BI Platform Overview • Building a Cube in SSAS
DW Development Approach: Kimball • Methodology • DW Project Lifecycle • Business requirements • Business Requirements Documentation • Bus Matrix • Design, build and deliver in increments • DWArchitecture • DW Design • ETL system • Cube, Reports, query tools, …
Data Warehouse Project Lifecycle Source: Mundy, Thornthwaite, and Kimball (2006). The Microsoft Data Warehouse Toolkit, Wiley Publishing Inc., Indianapolis, IN.
DW Development Approach: Kimball • Methodology • DW Project Lifecycle • Business requirements • Business Requirements Documentation • Bus Matrix • Design, build and deliver in increments • DWArchitecture • DW Design • ETL system • Cube, Reports, query tools, …
BI Application Specification, Development • Specification • Standard Reports • Layout-led discovery • Enrollments by course and timeframe • Average GPA by course and timeframe • Analytic Applications • Data and Model-led discovery • Year-to-year changes in average GPAs by college • Students most likely to have good overall GPAs • Development • (SSAS, Excel) Multidimensional Cube, Data-led discovery • (SSRS, Excel) Standard Reports • (SSAS, Excel) Mining Model-led discovery
Displaying the Cube • Cube browser—resembles spreadsheet
Displaying the Cube, cont… • Pivot table - a multidimensional spreadsheet
Microsoft BI Platform RDL MDX, DMX SQL
Microsoft BI Platform: Development Interfaces • SQL Server Database Engine • Interface: SSMS • SQL Server Integration Services • Interface: SSDT • SQL Server Analysis Services • Interface: SSDT • SQL Server Reporting Services • Interface: SSDT • MS Office Excel Data Mining Add-In
Preparing the Data Warehouse for Analysis • Build a multidimensional cube • Refine • Create KPIs… • Design reports • Design mining models • Deploy cube, reports, models to the server
Building an Analysis Services Cube • Create: • Data Source • Data Source View • Cube • Deploy/Process Cube • Use the Cube • OLAP Analysis • Reports • Data Mining Models
Example http://www.accelebrate.com/sql_training/ssas_2008_tutorial.htm