What Is Attribute Relationships, Why We Need It?
Attribute relationships are the way of telling the analysis service engine that how the attributes are related with each other. It will help to relate two or more attributes to each other.Processing time will be decreased if proper relationships are given. This increases the Cube Processing performance and MDX query performance too.
In Microsoft SQL Server Analysis Services, attributes within a dimension are always related either directly or indirectly to the key attribute. When you define a dimension based on a star schema, which is where all dimension attributes are derived from the same relational table, an attribute relationship is automatically defined between the key attribute and each non-key attribute of the dimension.
When you define a dimension based on a snowflake schema, which is where dimension attributes are derived from multiple related tables, an attribute relationship is automatically defined as follows
Between the key attribute and each non-key attribute bound to columns in the main dimension table.
Between the key attribute and the attribute bound to the foreign key in the secondary table that links the underlying dimension tables.
Between the attribute bound to foreign key in the secondary table and each non-key attribute bound to columns from the secondary table.
What Is Data Source View Or Dsv?
A data source view is a persistent set of tables from a data source that supply the data for a particular cube. BIDS also includes a wizard for creating data source views, which you can invoke by right-clicking on the Data Source Views folder in Solution Explorer.
Datasource view is the logical view of the data in the data source.
Data source view is the only thing a cube can see.
What Is Named Calculation?
A named calculation is a SQL expression represented as a calculated column. This expression appears and behaves as a column in the table. A named calculation lets you extend the relational schema of existing tables or views in a data source view without modifying the tables or views in the underlying data source.
Named calculation is used to create a new column in the DSV using hard coded values or by using existing columns or even with both.
What Is A Data Source Or Ds?
The data source is the Physical Connection information that analysis service uses to connect to the database that host the data. The data source contains the connection string which specifies the server and the database hosting the data as well as any necessary authentication credentials.
Explain The Flow Of Creating A Cube?
Steps to create a cube in ssas
Create a data source.
Create a datasource view.
Create Dimensions
Create a cube.
Deploy and Process the cube.
What Is Amo?
The full form of AMO is Analysis Management Objects. This is used to create or alter cubes from .NET code.
After Creating The Cube, If We Added A New Column To The Oltp Table Then How You Add This New Attribute To The Cube?
Just open the datasourceview and on right click we find the option REFRESH. Click the REFRESH then it will add new attributes to the table which can be added to Cube.
What Is A Cube?
The basic unit of storage and analysis in Analysis Services is the cube. A cube is a collection of data that’s been aggregated to allow queries to return data quickly.
For example, a cube of order data might be aggregated by time period and by title, making the cube fast when you ask Questions concerning orders by week or orders by title.
What Are The Types Of Processing And Explain Each?
They are 6 types of processing in ssas ,they are
Process Full
Process Data
Process Index
Process Incremental
Process Structure
UnProcess
What Are The Difference Between Data Mart And Data Warehouse?
Datawarehouse is complete data where as Data mart is Subset of the same.
Ex: All the organisation data may related to finance department, HR, banking dept are stored in data warehouse where as in data mart only finance data or HR department data will be stored. So data warehouse is a collection of different data marts.
What Is Data Mart?
A data mart is a subset of an organizational data store, usually oriented to a specific purpose or major data subject that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization.
Data marts are often derived from subsets of data in a data warehouse, though in the bottom-up data warehouse design methodology the data warehouse is created from the union of organizational data marts.
They are 3 types of data mart they are
Dependent
Independent
Logical data mart
What Is Data Warehouse In Short Dwh?
The data warehouse is an informational environment that
Provides an integrated and total view of the enterprise
Makes the enterprise’s current and historical information easily available for decision making
Makes decision-support transactions possible without hindering operational systems
Renders the organization’s information consistent
Presents a flexible and interactive source of strategic information
What Is The Difference Between Ssas 2005 And Ssas2008?
In 2005 its not possible to create an empty cube but in 2008 we can create an empty cube.
A new feature in Analysis Services 2008 is the Attribute Relationships tab in the Dimension Designer . to implement attribute relationship is complex in ssas 2005
we can create ONLY 2000 partitions per Measure Group in ssas 2005 and the same limit of partitions is removed in ssas 2008.
How You Provide Security To Cube?
By defining roles we provide security to cubes. Using roles we can restrict users from accessing restricted data.
Procedure as follows
Define Role
Set Permission
Add appropriate Users to the role
What Is The Maximum Size Of A Dimension?
The maximum size of the dimension is 4 gb.
What Is Deploy, Process And Build?
Bulid: Verifies the project files and create several local files.
Deploy: Deploy the structure of the cube(Skeleton) to the server.
Process: Read the data from the source and build the dimensions and cube structures
What Are Actions, How Many Types Of Actions Are There, Explain With Example?
Actions are powerful way of extending the value of SSAS cubes for the end user. They can click on a cube or portion of a cube to start an application with the selected item as a parameter, or to retrieve information about the selected item.
One of the objects supported by a SQL Server Analysis Services cube is the action. An action is an event that a user can initiate when accessing cube data. The event can take a number of forms. For example, a user might be able to view a Reporting Services report, open a Web page, or drill through to detailed information related to the cube data
Analysis Services supports three types of actions..
Report action: Report action Returns a Reporting Services report that is associated with the cube data on which the action is based.
Drill through: Drillthrough Returns a result set that provides detailed information related to the cube data on which the action is based.
Standard: Standard has five action subtypes that are based on the specified cube data.
Dataset: Returns a multidimensional dataset.
Proprietary: Returns a string that can be interpreted by a client application.
Rowset: Returns a tabular rowset.
Statement: Returns a command string that can be run by a client application.
URL: Returns a URL that can be opened by a client application, usually a browser.
What Are Kpis And What Is Its Use?
In Analysis Services, a KPI is a collection of calculations that are associated with a measure group in a cube that are used to evaluate business success. We use KPI to see the business at the particular point, this is represents with some graphical items such as traffic signals,ganze etc
What Is Perspective, Have You Ever Created Perspective?
Perspectives are a way to reduce the complexity of cubes by hidden elements like measure groups, measures, dimensions, hierarchies etc. It’s nothing but slicing of a cube, for ex we are having retail and hospital data and end user is subscribed to see only hospital data, then we can create perspective according to it.
What Are Aggregations And Its Use?
Aggregations provide performance improvements by allowing Microsoft SQL Server Analysis Services (SSAS) to retrieve pre-calculated totals directly from cube storage instead of having to recalculate data from an underlying data source for each query. To design these aggregations, you can use the Aggregation Design Wizard.
This wizard guides you through the following steps
Selecting standard or custom settings for the storage and caching options of a partition, measure group, or cube.
Providing estimated or actual counts for objects referenced by the partition, measure group, or cube.
Specifying aggregation options and limits to optimize the storage and query performance delivered by designed aggregations.
Saving and optionally processing the partition, measure group, or cube to generate the defined aggregations.
After you use the Aggregation Design Wizard, you can use the Usage-Based Optimization Wizard to design aggregations based on the usage patterns of the business users and client applications that query the cube.
What Is The Minimum And Maximum Number Of Partitions Required For A Measure Group?
In 2005 a MAX of 2000 partitions can be created per measure group and that limit is lifted in later versions.
In any version the MINIMUM is ONE Partition per measure group.
What Is Partition, How Will You Implement It?
You can use the Partition Wizard to define partitions for a measure group in a cube. By default, a single partition is defined for each measure group in a cube. Access and processing performance, however, can degrade for large partitions. By creating multiple partitions, each containing a portion of the data for a measure group, you can improve the access and processing performance for that measure group.
What Are Calculated Members And What Is Its Use?
Calculations are item in the cube that are eveluated at runtime
Calculated members: You can create customized measures or dimension members, called calculated members, by combining cube data, arithmetic operators, numbers, and/or functions.
Example: You can create a calculated member called Marks that converts dollars to marks by multiplying an existing dollar measure by a conversion rate. Marks can then be displayed to end users in a separate row or column. Calculated member definitions are stored, but their values exist only in memory. In the preceding example, values in marks are displayed to end users but are not stored as cube data.
What Is Regular Type, No Relation Type, Fact Type, Referenced Type, Many-to-many Type With Example?
No relationship: The dimension and measure group are not related.
Regular: The dimension table is joined directly to the fact table.
Referenced: The dimension table is joined to an intermediate table, which in turn,is joined to the fact table.
Many to many:The dimension table is to an intermediate fact table,the intermediate fact table is joined , in turn, to an intermediate dimension table to which the fact table is joined.
Data mining:The target dimension is based on a mining model built from the source dimension. The source dimension must also be included in the cube.
Fact table: The dimension table is the fact table.
What Is Role Playing Dimension With Two Examples?
Role play dimensions: We already discussed about this. This is nothing but CONFIRMED Dimensions. A dimension can play different role in a fact table you can recognize a roleplay dimension when there are multiple columns in a fact table that each have foreign keys to the same dimension table.
Ex1: There are three dimension keys in the factinternalsales,factresellersales tables which all refer to the dimtime table,the same time dimension is used to track sales by that contain either of these fact table,the corresponding role-playing dimension are automatically added to the cube.
Ex2 : In retail banking, for checking account cube we could have transaction date dimension and effective date dimension. Both dimensions have date, month, quarter and year attributes. The formats of attributes are the same on both dimensions, for example the date attribute is in ‘dd-mm-yyyy’ format. Both dimensions have members from 1993 to 2010.
What Is Scd (slowly Changing Dimension)?
Slowly changing dimensions (SCD) determine how the historical changes in the dimension tables are handled. Implementing the SCD mechanism enables users to know to which category an item belonged to in any given date.
How Many Types Of Relations Are There Between Dimension And Measure Group?
They are six relation between the dimension and measure group, they are
No Relationship
Regular
Refernce
Many to Many
Data Mining
Fact
Attribute relationships are the way of telling the analysis service engine that how the attributes are related with each other. It will help to relate two or more attributes to each other.Processing time will be decreased if proper relationships are given. This increases the Cube Processing performance and MDX query performance too.
In Microsoft SQL Server Analysis Services, attributes within a dimension are always related either directly or indirectly to the key attribute. When you define a dimension based on a star schema, which is where all dimension attributes are derived from the same relational table, an attribute relationship is automatically defined between the key attribute and each non-key attribute of the dimension.
When you define a dimension based on a snowflake schema, which is where dimension attributes are derived from multiple related tables, an attribute relationship is automatically defined as follows
Between the key attribute and each non-key attribute bound to columns in the main dimension table.
Between the key attribute and the attribute bound to the foreign key in the secondary table that links the underlying dimension tables.
Between the attribute bound to foreign key in the secondary table and each non-key attribute bound to columns from the secondary table.
What Is Data Source View Or Dsv?
A data source view is a persistent set of tables from a data source that supply the data for a particular cube. BIDS also includes a wizard for creating data source views, which you can invoke by right-clicking on the Data Source Views folder in Solution Explorer.
Datasource view is the logical view of the data in the data source.
Data source view is the only thing a cube can see.
What Is Named Calculation?
A named calculation is a SQL expression represented as a calculated column. This expression appears and behaves as a column in the table. A named calculation lets you extend the relational schema of existing tables or views in a data source view without modifying the tables or views in the underlying data source.
Named calculation is used to create a new column in the DSV using hard coded values or by using existing columns or even with both.
What Is A Data Source Or Ds?
The data source is the Physical Connection information that analysis service uses to connect to the database that host the data. The data source contains the connection string which specifies the server and the database hosting the data as well as any necessary authentication credentials.
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| Samsung SDS Frequently Asked SSAS Interview Questions Answers |
Explain The Flow Of Creating A Cube?
Steps to create a cube in ssas
Create a data source.
Create a datasource view.
Create Dimensions
Create a cube.
Deploy and Process the cube.
What Is Amo?
The full form of AMO is Analysis Management Objects. This is used to create or alter cubes from .NET code.
After Creating The Cube, If We Added A New Column To The Oltp Table Then How You Add This New Attribute To The Cube?
Just open the datasourceview and on right click we find the option REFRESH. Click the REFRESH then it will add new attributes to the table which can be added to Cube.
What Is A Cube?
The basic unit of storage and analysis in Analysis Services is the cube. A cube is a collection of data that’s been aggregated to allow queries to return data quickly.
For example, a cube of order data might be aggregated by time period and by title, making the cube fast when you ask Questions concerning orders by week or orders by title.
What Are The Types Of Processing And Explain Each?
They are 6 types of processing in ssas ,they are
Process Full
Process Data
Process Index
Process Incremental
Process Structure
UnProcess
What Are The Difference Between Data Mart And Data Warehouse?
Datawarehouse is complete data where as Data mart is Subset of the same.
Ex: All the organisation data may related to finance department, HR, banking dept are stored in data warehouse where as in data mart only finance data or HR department data will be stored. So data warehouse is a collection of different data marts.
What Is Data Mart?
A data mart is a subset of an organizational data store, usually oriented to a specific purpose or major data subject that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization.
Data marts are often derived from subsets of data in a data warehouse, though in the bottom-up data warehouse design methodology the data warehouse is created from the union of organizational data marts.
They are 3 types of data mart they are
Dependent
Independent
Logical data mart
What Is Data Warehouse In Short Dwh?
The data warehouse is an informational environment that
Provides an integrated and total view of the enterprise
Makes the enterprise’s current and historical information easily available for decision making
Makes decision-support transactions possible without hindering operational systems
Renders the organization’s information consistent
Presents a flexible and interactive source of strategic information
What Is The Difference Between Ssas 2005 And Ssas2008?
In 2005 its not possible to create an empty cube but in 2008 we can create an empty cube.
A new feature in Analysis Services 2008 is the Attribute Relationships tab in the Dimension Designer . to implement attribute relationship is complex in ssas 2005
we can create ONLY 2000 partitions per Measure Group in ssas 2005 and the same limit of partitions is removed in ssas 2008.
How You Provide Security To Cube?
By defining roles we provide security to cubes. Using roles we can restrict users from accessing restricted data.
Procedure as follows
Define Role
Set Permission
Add appropriate Users to the role
What Is The Maximum Size Of A Dimension?
The maximum size of the dimension is 4 gb.
What Is Deploy, Process And Build?
Bulid: Verifies the project files and create several local files.
Deploy: Deploy the structure of the cube(Skeleton) to the server.
Process: Read the data from the source and build the dimensions and cube structures
What Are Actions, How Many Types Of Actions Are There, Explain With Example?
Actions are powerful way of extending the value of SSAS cubes for the end user. They can click on a cube or portion of a cube to start an application with the selected item as a parameter, or to retrieve information about the selected item.
One of the objects supported by a SQL Server Analysis Services cube is the action. An action is an event that a user can initiate when accessing cube data. The event can take a number of forms. For example, a user might be able to view a Reporting Services report, open a Web page, or drill through to detailed information related to the cube data
Analysis Services supports three types of actions..
Report action: Report action Returns a Reporting Services report that is associated with the cube data on which the action is based.
Drill through: Drillthrough Returns a result set that provides detailed information related to the cube data on which the action is based.
Standard: Standard has five action subtypes that are based on the specified cube data.
Dataset: Returns a multidimensional dataset.
Proprietary: Returns a string that can be interpreted by a client application.
Rowset: Returns a tabular rowset.
Statement: Returns a command string that can be run by a client application.
URL: Returns a URL that can be opened by a client application, usually a browser.
What Are Kpis And What Is Its Use?
In Analysis Services, a KPI is a collection of calculations that are associated with a measure group in a cube that are used to evaluate business success. We use KPI to see the business at the particular point, this is represents with some graphical items such as traffic signals,ganze etc
What Is Perspective, Have You Ever Created Perspective?
Perspectives are a way to reduce the complexity of cubes by hidden elements like measure groups, measures, dimensions, hierarchies etc. It’s nothing but slicing of a cube, for ex we are having retail and hospital data and end user is subscribed to see only hospital data, then we can create perspective according to it.
What Are Aggregations And Its Use?
Aggregations provide performance improvements by allowing Microsoft SQL Server Analysis Services (SSAS) to retrieve pre-calculated totals directly from cube storage instead of having to recalculate data from an underlying data source for each query. To design these aggregations, you can use the Aggregation Design Wizard.
This wizard guides you through the following steps
Selecting standard or custom settings for the storage and caching options of a partition, measure group, or cube.
Providing estimated or actual counts for objects referenced by the partition, measure group, or cube.
Specifying aggregation options and limits to optimize the storage and query performance delivered by designed aggregations.
Saving and optionally processing the partition, measure group, or cube to generate the defined aggregations.
After you use the Aggregation Design Wizard, you can use the Usage-Based Optimization Wizard to design aggregations based on the usage patterns of the business users and client applications that query the cube.
What Is The Minimum And Maximum Number Of Partitions Required For A Measure Group?
In 2005 a MAX of 2000 partitions can be created per measure group and that limit is lifted in later versions.
In any version the MINIMUM is ONE Partition per measure group.
What Is Partition, How Will You Implement It?
You can use the Partition Wizard to define partitions for a measure group in a cube. By default, a single partition is defined for each measure group in a cube. Access and processing performance, however, can degrade for large partitions. By creating multiple partitions, each containing a portion of the data for a measure group, you can improve the access and processing performance for that measure group.
What Are Calculated Members And What Is Its Use?
Calculations are item in the cube that are eveluated at runtime
Calculated members: You can create customized measures or dimension members, called calculated members, by combining cube data, arithmetic operators, numbers, and/or functions.
Example: You can create a calculated member called Marks that converts dollars to marks by multiplying an existing dollar measure by a conversion rate. Marks can then be displayed to end users in a separate row or column. Calculated member definitions are stored, but their values exist only in memory. In the preceding example, values in marks are displayed to end users but are not stored as cube data.
What Is Regular Type, No Relation Type, Fact Type, Referenced Type, Many-to-many Type With Example?
No relationship: The dimension and measure group are not related.
Regular: The dimension table is joined directly to the fact table.
Referenced: The dimension table is joined to an intermediate table, which in turn,is joined to the fact table.
Many to many:The dimension table is to an intermediate fact table,the intermediate fact table is joined , in turn, to an intermediate dimension table to which the fact table is joined.
Data mining:The target dimension is based on a mining model built from the source dimension. The source dimension must also be included in the cube.
Fact table: The dimension table is the fact table.
What Is Role Playing Dimension With Two Examples?
Role play dimensions: We already discussed about this. This is nothing but CONFIRMED Dimensions. A dimension can play different role in a fact table you can recognize a roleplay dimension when there are multiple columns in a fact table that each have foreign keys to the same dimension table.
Ex1: There are three dimension keys in the factinternalsales,factresellersales tables which all refer to the dimtime table,the same time dimension is used to track sales by that contain either of these fact table,the corresponding role-playing dimension are automatically added to the cube.
Ex2 : In retail banking, for checking account cube we could have transaction date dimension and effective date dimension. Both dimensions have date, month, quarter and year attributes. The formats of attributes are the same on both dimensions, for example the date attribute is in ‘dd-mm-yyyy’ format. Both dimensions have members from 1993 to 2010.
What Is Scd (slowly Changing Dimension)?
Slowly changing dimensions (SCD) determine how the historical changes in the dimension tables are handled. Implementing the SCD mechanism enables users to know to which category an item belonged to in any given date.
How Many Types Of Relations Are There Between Dimension And Measure Group?
They are six relation between the dimension and measure group, they are
No Relationship
Regular
Refernce
Many to Many
Data Mining
Fact
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