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Content
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
SQL Server optimization
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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SQL Server notification services
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Group discussion

Data warehousing fact & dimension tables

What are fact tables and dimension tables?

Answer
As mentioned, data in a warehouse comes from the transactions. Fact table in a data warehouse consists of facts and/or measures. The nature of data in a fact table is usually numerical.

On the other hand, dimension table in a data warehouse contains fields used to describe the data in fact tables. A dimension table can provide additional and descriptive information (dimension) of the field of a fact table.

e.g. If I want to know the number of resources used for a task, my fact table will store the actual measure (of resources) while my Dimension table will store the task and resource details.

Hence, the relation between a fact and dimension table is one to many.

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