Data Mining and Data Warehousing Questions

Data Mining and Data Warehousing - Questions

Data mining is the process of analyzing enormous amounts of information and datasets, extracting (or “mining”) useful intelligence to help organizations solve problems, predict trends, mitigate risks, and find new opportunities.

Short Questions

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Long Questions

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Multiple Choice Questions

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Short Questions

1. What is HOLAP?

2. What is Enterprise Warehouse?

3. What is Data Mart?

4. What are dependent and independent data marts?

5. What is Virtual Warehouse?

6. What is VLDB?

7. What are Research prototypes?

8. What is the difference between generic single-task tools and generic multi-task tools?

9. What are the areas in which data warehouses are used in present and in future?

10. What is DMQL?

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Long Questions

1. The Term “Business Intelligence” is also used as an alternative term for Data Mining. Justify appropriateness of term with comparison of the term “Artificial Intelligence”

2. Why Data Preprocessing is needed and which are the techniques used for data Preprocessing?

3. Explain Common Hadoop Shell Commands

4. What is Hadoop Architecture and Storage?

5. What is Big Data and Characteristics of Big Data V3s?

6. Explain Clustering, Spatial mining, Web mining, Text mining in brief

7. Explain usage of Data warehousing for information processing, analytical processing, and data Mining

8. What do you mean by data mart? What are the different types of data mart?

9. Explain meta data repository

10. Explain Data Warehouse Design Process in Detail

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Old Questions

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