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what is the difference between OLTP database and data
warehousing database?
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Answer / jteo
OLTP (Online Transaction Processing) database design is
normalised, which means it is optimized for INSERT, UPDATE.
Data warehouse design is not normalised but follows
dimensional modelling rules. They involve building star
schemas made up of fact tables and dimension tables and are
optimized for querying (SELECT).
| Is This Answer Correct ? | 5 Yes | 1 No |
Answer / kaki
OLTP
1. Normalized database; having lot of joins. Hence, slow
2. INSERT, UPDATE, DELETE immediately refelects data in the
OLTP transactional database.
OLAP
2. Denormalized database; having lesser joins. Hence,
performance is good.
3. Need a tool like ETL to populate the database; Data may
not be seen immediately after creation unless ETL populates
it.
| Is This Answer Correct ? | 1 Yes | 0 No |
Answer / srinivas
OLTP(ONLINE TRANSACTION PROCESSING SYSTEM):
1. It is used for transaction processing.
2. tables and joins are complex.
3. entity relation models will use.
4. used for write operations.
5. performance is low.
OLAP(ONLINE ANALATYCIAL PROCESSING SYSTEM):
1. It is used for analytacial prcessing.
2. tables and joins are simple.
3. dimension modeling will use.
4. used only for read operations.
5. performance is high.
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Answer / ankit kansal
OLTP systems are designed to handle events (Inserts,Update,Delete) frequently so its better to keep your database more normalized form as selection is not as frequent where as in case of
OLAP systems are designed purely for analysis or to find out trends using historical data so, to achieve this kind of functionality a data warehouse are designed more de-normalized where query(selection) is much faster.
http://deepinopensource.blogspot.in/
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