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SQL Server part 1
SQL Server part 2
SQL Server part 3
SQL Server part 4
SQL Server part 5
SQL Server part 6
SQL Server part 7
SQL Server part 8
SQL Server part 9
SQL Server cursor
SQL Server replication
Structured query language
SQL Server architecture
SQL Server constraints
SQL Server cursors
Data Mining
Data warehousing
SQL Server DTS
SQL Server functions
SQL Server indexes
SQL Server joins
SQL Server locks
SQL Server Net integration
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SQL Server replication
SQL reporting services
SQL service broker
SQL Server stored procedures
SQL Server table
SQL Server transactions
SQL Server transactions Architecture
SQL Server triggers
SQL Server views
SQL Server XML integration
SQL Server DDL
SQL Server DML
SQL Server DCL
SQL Server identifier
SQL Server data integrity
SQL Server accessing data
SQL Server subqueries
SQL Server cube operator
SQL Server insert data
SQL Server distributed queries
SQL Server index tuning
 
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How to transfer or export SQL Server 2005 data to Excel 
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Data warehousing Dimensional Modeling

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What is Dimensional Modeling?

Answer
Dimensional modeling is often used in Data warehousing. In simpler words it is a rational or consistent design technique used to build a data warehouse. DM uses facts and dimensions of a warehouse for its design. A snow and star flake schema represent data modeling.

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More Related Links
What is a level of Granularity of a fact table?

Answer - A fact table is usually designed at a low level of Granularity...........

Explain the difference between star and snowflake schemas.

Answer - A snow flake schema design is usually more complex than a start schema.....

What is the difference between view and materialized view?

Answer - A view is created by combining data from different tables........

What is a Cube and Linked Cube with reference to data warehouse?

Answer - A data cube stores data in a summarized version which helps in a faster analysis............

 
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