A star schema is a data warehouse design that represents multidimensional data with one or more fact tables referencing any number of dimension tables. It consists of a central fact table surrounded by dimension tables that describe the facts. To design a star schema, business processes are identified, measures or facts are selected, dimensions for the facts are determined, dimension columns are listed, and the lowest level of summary in the fact table is defined. Star schemas have advantages like simpler queries, simplified business reporting, query performance gains, and fast aggregations. The ERDPlus tool can be used to implement star schemas.

1. STAR SCHEMA IMPLEMENTATION
By :Swati Jaipurkar

2. Data warehouse modelling
Data Modelling
Multidimensional data Model :

3. Star Schema
 Represents Multidimentional data.
 In the center “FACT Table”
 Dimention Tables around the Fact table.
Dimention
Table 3
FACT TABLE
Dimention
Table 2
Dimention
Table 1
Dimention
Table 4

4. Steps in
Designing Star Schema
1. Identify business process for analysis(Like
sales)
2. Identify measures or facts (sales in $)
3. Identify dimentions for fact (Product, customer,
Time, Region etc)
4. List the coulmns that describes dimention
5. Determine lowest level of summary in fact table
sales.

5. Dimention and Fact Tables:

6. Advantages
1. Simpler queries
2. Simplified business reporting logic
3. Query performance gains
4. Fast aggregations
5. Feeding cubes

7. Implementing star schema using
ERDPlus tool
Use following link to implement star schema :
https://erdplus.com/