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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
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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Group discussion

Data warehousing

What is a level of Granularity of a fact table?

Answer
A fact table is usually designed at a low level of Granularity. This means that we need to find the lowest level of information that can store in a fact table.

E.g. Employee performance is a very high level of granularity. Employee_performance_daily, employee_perfomance_weekly can be considered lower levels of granularity.

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Explain the difference between star and snowflake schemas.

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