What We will learn?
While creating cube using SQL server data tools or Business intelligence development studio we came across many tabs in the designer window. Let’s understand each one of the tab in short.
1. Cube structure
a. Shows the current structure of the cube. Shows the available dimensions, Facts and relationships between them b. It let us include new dimensions which are not part of the cube right now. c. It let us include new measures which are not part of the cube right now.
2. Dimension Usage
KPI or Key value indicators let us display custom icons based on the current value. Note: Icon may or may not be supported in the client. Example when client is excel it shows perfectly fine but may be some other cube client will not support it.
Usually inside cube for storing fact table data partitions are created. By default one partition will be created for one fact table. Those partitions can be seen in this tab. Sometimes we create multiple partitions for a single fact table. Example one partition will store historical data where as one will store current data Advantages of creating multiple partitions are
- Each partition can be pointing to different data source in short different physical location.
- Each partition can be configured with different storage settings
- Each partition can have different aggregations
- Each partition can be processed independently and thus processing speed will be improved a lot.
Perspective let us create different views for our cube. It’s not security. It’s just a view to make end users life easy. Every view will provide different information. Example: Perspective created for Product manager will show only dimensions and facts related to Product.
Using this tab developer will test the cube created using remaining 9 tabs. Learn more on explaining Data Flow Tab and Data Flow Task in SSIS For technical trainings on various topics like WCF (Windows Communication Foundation), MVC (Model View Controller), Business Intelligence, Design Patterns, WPF, TFS and Basic fundamentals feel free to contact SukeshMarla@Gmail.com or visit www.sukesh-marla.com For more stuff like this, click here. Subscribe to article updates or follow at twitter @SukeshMarla