SSAS

New Project BI Analysis Services Analysis Services Multidimensional and Data Mining

Building Multidimensional cube:

Solution Explorer:

1. Data Sources connect the data source, extract the data. 2. Data Source Views select tables from the source as required Facts & Dimensions 3. Cubes

a. Use existing table b. Create from scratch c. Generate tables

Measure group tables:

Select Measures

Select new dimensions

Finish

BEFORE you can browse: you need to deploy: right click, say process it is automatically deployed.

Say run

Then you can browse

4. Dimensions 5. Mining Structures 6. Roles 7. Assemblies 8. Misc.

Cubes are frequently based on STAR Schema, concept of fact tables, dimension tables.

Identify facts and dimensions, prepare a logical schema (star). Create a physical database we store measures info. In fact tables and descriptive info in dimension tables.

Measures: Sale price Order Quantity

Dimension: Customer information : Which Customer placed the order. Product information: Which Product has been sold, and its details. Time information: when was the order placed Person Information: Who was the sales person has placed the order.

Once we identify Fact and Dimension information, logical Star or snowflake schema can be constructed.

Star schema

SSRS

BI Reporting Services Report Server Project Wizard

1. Select Data Source (Excel, DB, Access OLEDB, Analysis Services, etc). 2. Design query: Query Builder Like Access 3. Select Report Type Tabular, Matrix 4. Design tables: Page Level, Groupings, Details 5. Choose table style 6. Finish

Design Tab to make changes to design of the tables

Preview Tab Output of the report

Solution Explorer .rdl file: the structure of the report (metadata) is stored in it.

View -- > Solution Explorer right click on a project deploy

Deploy started deploys the report into a web application