What is the difference between a data warehouse and a data mart?
- 15 Answers
- 43659 Views
- Apex, ASD Lab, Bank Of America, I also Faced
- E-Mail Answers
Answer Posted / nagesh dusi
datawarehouse is the collection of different subject related
information in the organization like
finance,hr,sales,purchases.datawarehouse is for analysis
purpose.we can read the data only,once the data is stored we
can not change(until the client athorization).Data warehouse
will store the historical data for analysis purpose and
Reporting purpose.To construct the data ware house it will
take 1 to 2 years.
In data mart subject related information is stored.data mart
is the part of the dataware house.it explain the information
about the particular subject. we can make changes with
insert,update and delete options.Most of the companies will
prefer Data Mart only for there organizations.Data Mart is
used to Record the current transactional record purpose. To
construct the Data Mart it will take 6 months to 8
months.organizations firstly prefer to construct there
typical area of the business first on this data mart and
based on the requirement of the organization they will
implement remaining data marts
| Is This Answer Correct ? | 2 Yes | 1 No |
Post New Answer View All Answers
What is the difference between a primary and secondary actor in use case modeling?
How to design file watch jobs?
Explain what is ods (operation data source)?
What we will do with the universe for faster process?
What are the different methods of loading dimension tables?
Explain when do we analyze the tables? How do we do it?
what is user variable in affinium campaign? and some real time examples.
What are situations where snow flake schema is better than star schema to use and when the opposite is true?
What is the difference between drill through and masterdetail reports?
Explain why dimenstion tables are denormalized in nature?
What is the data type of the surrogate key?
Do you view contain data?
What is VLDB?
Explain which columns go to the fact table and which columns go the dimension table?
What are situations where snowflake schema is better than star schema when the opposite is true?
