2014
lynda.com
Ron Davis
02:22:00
English
You've gone over the fundamentals. It's time to get into the Microsoft business intelligence (BI) stack in depth, in this course with Ron Davis. Ron starts in SQL Server Analysis Services, explaining both the traditional multidimensional mode and the new tabular mode for viewing your business's data. Then he moves on to enriching and analyzing your data with Excel's PowerPivot tool, and sharing your Excel workbooks in SharePoint. Finally, Ron covers PerformancePoint Services, which allows you to build dashboards for your data warehouses and other data sources, and explores designing diagrams and data visualizations with Visio Services and data mining with Microsoft BI.
Topics include:
- Working with data sources and data views in SQL
- Understanding the star and snowflake database schemas
- Working with the SQL 2012 semantic model (aka tabular mode)
- Using Data Analysis Expressions (DAX)
- Using Excel Web Parts to connect to spreadsheets
- Building dashboards with key performance indicators (KPIs) and reports
- Understanding the Microsoft data-mining process
Introduction
Welcome
What you should know
Exercise files
1. The Traditional Multidimensional Model
What do you want to know about your business?
Data sources
Data views
Cubes
Hierarchies
Perspectives
Star and snowflake schemas
2. The New Tabular Model
The tabular model
Grid and diagram views
Data sources
Relationships
Measures
Hierarchies and perspectives
Process and deploy
3. Basic Power Pivot
Power Pivot and Excel
Enriching data
Data Analysis Expressions (DAX)
4. SharePoint Excel Services
Excel Web Access (EWA)
Saving and sharing
Excel Web Parts
5. Basic PerformancePoint
Overview of PerformancePoint services
Dashboard Designer
Data sources
Key performance indicators (KPIs)
Objective KPIs
Scorecards
Visual reports
Filters
Dashboards
6. SharePoint Visio Services
Visio drawings in the browser
The Visio Web Access Web Part
Visio drawings with data connections
7. Data Mining and Predictive Analytics
Why data mining?
The Cross Industry Process for Data Mining (CRISP-DM)
Key concepts
Microsoft data mining process
Data-mining tasks
Microsoft algorithms
Microsoft data-mining examples
Conclusion
Next steps
http://0s.o53xo.nr4w4zdbfzrw63i.cmle.ru/Excel-tutorials/Microsoft-Business-Intelligence-Stack-Depth/172384-2.html
Download File Size:508.59 MB
|
