UK Polytechnic Diploma based subject Datawarehouse and Datamining page 2 short Questions with Answers

Hello दोस्तों! आज मैं आपको इस पोस्ट में  Datawarehouse and Datamining subject page 2 में 14 Short Question with Answer  बताऊंगा जिससे आपको Diploma के exam या अन्य exam में सहायता प्राप्त होगी.

तो चलिए शुरू करते हैं:-

 


Datawarehouse and Datamining subject page 2

                    Short Question with Answer :


14 Short Questions:

Fill in the Blanks

1. A data warehouse provides us generalized and consolidated data in……………………… view.

2. A data warehouse is a ……………………. designed to enable business intelligence activities.

3. A data warehouse system helps in consolidated ………………………… data analysis.

4. A data warehouse is subject ……………………….. .

5. ……………… helps to reduce the overall cast of the product by reducing the number
of chaneels.

6. The concept of data warehouse deals with similarity of …………. formats between
different data sources.

7. …………. servers are placed between relational back-end server and client front
end tools.

8. Applications that support and manage transactions and which involve high volumes of
data are supported by ………………….. system.

9. Business data analysis and complex calculations on low volumes are performed by
……….

10. ……………………component of data warehouse is responsible for collection of data.

11. The ………………………….. manager is the centre of data-warehousing system.

12. …………………. manager component provides the end-users with access to the stored
warehouse information through the use of specialized end-user tools.

13. …………………………… is simply defined as data about data.

14. A ………………………. is the access layer of the data warehouse environment that is used to
get data out of the users.


ANSWERS

1. Multi – dimensional

2. data base

3. historical.

4. Oriented

5. Data Warehousing

6. data

7. ROLAP.

8. OLTP

9. OLAP

10. Load manager

11. warehouse.

12. QUERY

13. Metadata.

14. data mart.


इसे भी देखे:

Uttarakhand polytechnic Datawarehouse and Datamining 2018 old paper

Uttarakhand polytechnic Data Warehouse and mining  2017 old paper


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