Interested to Buy Any Domain ? << Click Here >> for more details...
What is a star schema? Why does one design this way?
- 3 Answers
- 15074 Views
- I also Faced
- E-Mail Answers
Answers were Sorted based on User's Feedback
Answer / nethaji
A Star schema consist of fact table surrounded by one or
more dimension tables,which represent a star like
structure.Primary key of dimension tables connect to fact
tables as foreign keys.Data is is denormalized manner.For
better query performance we would go for star schema.
| Is This Answer Correct ? | 10 Yes | 0 No |
Answer / tanmay kumar meher
The star schema (sometimes referenced as star join schema)
is the simplest data warehouse schema, consisting of a
single "fact table" with a compound primary key, with one
segment for each "dimension" and with additional columns of
additive, numeric facts.
The star schema makes multi-dimensional database (MDDB)
functionality possible using a traditional relational
database. Because relational databases are the most common
data management system in organizations today, implementing
multi-dimensional views of data using a relational database
is very appealing. Even if you are using a specific MDDB
solution, its sources likely are relational databases.
Another reason for using star schema is its ease of
understanding. Fact tables in star schema are mostly in
third normal form (3NF), but dimensional tables are in de-
normalized second normal form (2NF). If you want to
normalize dimensional tables, they look like snowflakes
(see snowflake schema) and the same problems of relational
databases arise - you need complex queries and business
users cannot easily understand the meaning of data.
Although query performance may be improved by advanced DBMS
technology and hardware, highly normalized tables make
reporting difficult and applications complex.
| Is This Answer Correct ? | 5 Yes | 0 No |
Answer / pratap gangula
STAR Schema is a design that has a collection of one fact table and many dimension tables. Fact tables have the foreign keys to all the dimension tables and also keeps the additive measures for analysis. Dimension tables have the information needed to describe the measures in the fact. Basically dimensions are entities with all the attributes in a denormalized form.
| Is This Answer Correct ? | 0 Yes | 0 No |
What is the difference between data warehouse and operational systems?
What is ?Data mining??
Explain what are the methodologies of data warehousing?
capital of tamilnadu
Which technology should be used for interactive data querying across multiple dimensions for a decision making for a dw?
if you use oracle sql*loader , how do you transform data with it during loading?
What is prompt types of prompts?use of prompts syntax of prompt?
What is a Decision Tree Algorithm?
Suppose we have some 10,000 odd records in source system and when load them into target.how do we ensure that all 10,000 records that are loaded to target doesnt contain any garbage values?
What are the advantages of raid 1, 1/0, and
Why is dimensional normalization not required?
What is data analysis?
Teradata 
