Technical Training
Analysis Services TrainingMSAS : Setting up the Database in Analysis Server
Setting up the Database in Analysis Server
The first step in creating a cube is the setting up of the Database. Double click on the server and connect to it. Once the connection is established, the user can proceed to create the database. Right click on the server node and select ‘New Database’. On clicking on “New Database” a tiny window opens prompting the user to enter the name of the database and a description of it. The database has been named Sample and the description entered as “sample cube”.


Descriptions of the database are generally useful when there are a large number of databases and data sources for the user to deal with and he must choose his database before beginning his operations on it.
Once ‘OK’ has been clicked the database appears on the left pane of the Analysis server, complete with all the empty folders for object storage.
The first folder under the Sample database is the data source folder. Every cube draws its data from a particular data source. This folder will store the details of the data source that will provide the cube with its data. The data source can be set up in two ways.
- Right click on data source folder and select New Data Source
- Right Click on the Cube folder. Select New Cube. In the cube wizard that opens select Next and then click on New Data Source button.
- Either of these operations will navigate the user to the Data link properties dialog box.

Connecting to the Data Source


Now Click OK to complete the process. Note that the Data source is displayed as ‘sample’ in the left pane of the Analysis server under data sources.

Tip: Renaming the data source is not possible in Analysis server. There is no simple “rename” option. The user however can get round this difficulty with a little bit of ingenuity. Right click on the data source name and click copy. Then click on the data source and click paste. A small dialog box will pop up warning you that the data source already exists in the database

However it gives the user the option of renaming the copy and pasting it into the data source folder. Enter the new name in the dialog box and click OK. Then delete the original data source name. The data source has been renamed to suit the user’s taste.
Analysis Services Training
- MSAS - Browsing the Dependency Network
- MSAS - Building a Relational Decision Tree Model
- MSAS - Introduction to Data Mining
- MSAS - Applying security to a Dimension
- Tutorial 65: MSAS - Managing Cube Roles
- MSAS - Understanding Database Roles
- MSAS - Securing User Authentication
- MSAS - Introducing Analysis Services Security
- MSAS - Writebacks
- MSAS - Defining and Creating Drillthrough
- MSAS - Defining and Creating Auctions
- MSAS - Creating and Maintaining Calculated Members in Virtual Cubes
- MSAS - Building a Virtual Cube
- MSAS - Understanding Virtual Cubes
- MSAS - Introducing Solve Order
- MSAS - Implementing Calculations Using MDX Part 2
- MSAS - Implementing Calculations Using MDX Part 1
- MSAS - Merging Partitions
- MSAS - Introduction and Managing Partitions
- MSAS - Troubleshooting Cube Processing
- MSAS - Optimizing Cube Processing
- MSAS - Processing Dimensions and Cubes
- MSAS - Introducing Dimension and Cube Processing
- MSAS: Optimization Tuning Part 2
- MSAS: Optimization Tuning Part 1
- MSAS: Usage-Based Optimization
- MSAS: Analysis Services Aggregations
- MSAS: The Storage Design Wizard
- MSAS: Analysis Server Cube Storage
- MSAS: Defining Cube Properties
- MSAS: Introduction and Working with Measures
- MSAS: Introduction and Working with Cubes
- MSAS: Virtual Dimensions
- MSAS: Introducing Member Properties
- MSAS: Creating Custom Rollups
- MSAS: Creating a Time Dimension
- MSAS: Understanding Hierarchies
- MSAS: Dimension Storage Modes and Levels
- MSAS: Working with Levels and Hierarchies
- MSAS: Working with Parent-Child Dimensions
- MSAS : Basics of Levels
- MSAS : Working with Standard Dimensions
- MSAS : Shared vs Private Dimensions
- Understanding Dimension Basics
- MSAS : Office 2000 OLAP Components
- MSAS : Client Architecture
- MSAS : Cube Storage options
- MSAS : Meta data Repository
- MSAS : Analysis services Tools for Extended Functionality
- MSAS : The Wizards
- MSAS : The Analysis Manager and Analysis Server
- MSAS : The Data warehousing framework of SQL Server 2000 - Part 2
- MSAS : The Data warehousing framework of SQL Server 2000 - Part 1
- MSAS : Microsoft Data Warehousing Overview
- MSAS : Browsing the Cube
- MSAS : Designing Storage and Processing the Cube
- MSAS : Building the Cube Part #3
- MSAS : Building the Cube Part #2
- MSAS : Building the Cube Part #1
- MSAS : Setting up the Database in Analysis Server
- MSAS : Preparing to Create the Cube
- MSAS : Introducing Analysis Manager Wizards
- Microsoft Analysis Services Installation
- MSAS - Applying OLAP Cubes
- Understanding OLAP Models
- Designing the Dimensional Model and Preparing the data for OLAP
- Design of the data warehouse: Kimball Vs Inmon
- Defining OLAP Solutions and Data Warehouse design
- Microsoft Analysis Services Training
- Data Warehouse database and OLTP database
- Introduction to Data Warehousing







