Hi,
Could any one tell me which schema (star and snow flake
schema) will take much space?
Thanks
S.A.K
Answers were Sorted based on User's Feedback
Answer / prasant tripathy
Hi
star schema takes more space then the snowflake because
star schema is denormalised schema and snowflake is
normalised
Is This Answer Correct ? | 10 Yes | 0 No |
Answer / laz
The answer is STAR SCHEMA . As, the data stored in
diamensional tables of the star schema is denormalized
hence it increases the space needed for storage of data.
Is This Answer Correct ? | 3 Yes | 0 No |
Answer / kranthi.kunta
Star flake schema will take more space than snow flake
schema.
Snow flake schema approach increases the number of joins
and results poor performance in data retrieval. In few
organizations, they try to normalize the dimension tables
to save space.
keke...
Is This Answer Correct ? | 3 Yes | 2 No |
Answer / pratap gangula
In Star schema the dimensions can have attributes that may have low cardinality which when separated out in other table will decrease the storage space.
Is This Answer Correct ? | 1 Yes | 0 No |
Answer / merohin27@gmail.com
star schema consists huge space then the snowflake because
star schema is de-normalised schema and snowflake is
normalised thus Star schema consists huge space
Is This Answer Correct ? | 0 Yes | 0 No |
Answer / 9885657928
Snow flake schema
why because a denormalized dimentional table splitted into
one or more tables which results in normalization of
dimentions.It hempers the Query performance due to more
number of joins.
Is This Answer Correct ? | 0 Yes | 2 No |
How to reduce warnings?
Do you view contain data?
What is up date strategy and what are th options for update strategy?
What are partition points?
What is the 4 + 1 view model as it relates to system modeling?
Explain meta data?
WHAT IS FACT LESS FACT TABLE?
How can you set the client management?
Explain the hierarchies level data warehousing.
What is DTM session?
Difference between e-r modeling and dimentional modeling?
Advantages of de normalized data?