Some of the key features of SSAS are … it can be used easily with several designers and Apps.
In the 2008 version it was possible to create an empty cube as well. This facility was not available in 2005.
Some of the data sources supported by SSAS are as follows…Provider, Server Name, Database Name and Impersonation Information.
Some of the options which can be used are…a specific Windows user name and password is all that is needed. Thus one does not require to create a seperate email ID. The service account can directly be used; under which source data access, processing,etc. can be utilized. Last but not the least, we also have the Inherit option which lets the SSAS server decide which options are the most suitable.
Yes, it is possible to do so.
A UDM is a Unified Dimensional Model
Its importance in SSAS is to build a bridge between the data sources and the user
Some of the benefits of having a UDM are…it enriches the user model, even over huge data amounts it supports interactive analysis and ultimately gives a more robust analysis by allowing business rules to be absorbed within the system.
Here are some of the reasons why it is important to have an SSAS component…it is user-friendly and interactive, it provides faster analysis and last but not the least it provides the ability to create and manage warehousing for large scale data.
The languages that constitute SSAS are… Structured Query Language (SQL), Multidimensional Expressions (MDX), Data Mining Extensions (DMX) and Analysis Services Scripting Language (ASSL).
The three types of data marts which are used are… Dependent, Independent, Logical data mart.
A data warehouse is a complete data storage. A data mart is a subset or a part of the former.
The creation of a cube involves the following steps… to create a data source, create a data source view, dimensions must be created, now a cube is created and finally the cube is deployed and processed.
Datasource is the actual physical connection that analysis servers use in order to connect the database itself.
The fact table is what contains the basic information that the user needs to summarize.
A Factless fact table is one that does not have any units of measure. It merely contains links to the dimensions.
Factless fact tables are used for tracking and recording events. They are also used for collecting statistics.
There are two types of attribute relationships… rigid and flexible.
There are three types of dimensions in SSAS… Confirm dimension, Junk dimension and Degenerate dimension.
There are three types of database schema … Star, Snowflake and Starflake
Hierarchies are tools or pathways along which data drilling or its flowing usage is anticipated. Two types of hierarchies exist… Natural hierarchy where the attributes are related to one another and Unnatural hierarchy where the attributes are not related.
This feature in SSAS enables one to display the caption and gives names that are synonymous with a particular language. It globalized the cube.
Implementing SCD helps one track and document past changes in the dimension tables. This mechanism catalogs items in their respective categories and provides that data at any point in time.
The types of SCD currently used are… SCD type 1, SCD type 2 and SCD type 3.
An attribute is a trait or a quality which is used to describe an object, file, location or element. It can also be used to describe the environment in which the said element currently resides.