CS614 Final Term Current Paper by VU Topper RM

1)

Clustering.

2)

Dense index.

3)

Lexical error.

4)

Collapse table.

5)

Portioning types.

6)

Dense and spare.

7)

Kimball lifecycle.

8)

Web warehousing.

9)

Cost of hashing join.

10. Fact and dimensions.
11. Data mining concept.
12. Plaining Data quality.

Q13. What is web scraping?

14. Signs of trouble Pg299.
15. Proxy Server problems.
16. Data quality techniques.
17. Web searching methods.
18. DWH Development Cycle.
19. Barriers in linear speed-up.
20. Implementation Strategies.
21. Three types of deliverables.
22. Denormalization techniques.
23. Hash-Based indexing Concept.
24. Business dimensional lifecycle.
25. Pipelining speedup calculation.
26. Claude Shannon's info. Theory.
27. Different between ERD and DM.
28. Misconceptions on Data Quality.
29. Design and planning techniques.
30. OLAP implementation technique.

Q31. How to improve the data quality?

32. Conventional indexes Basic Types.
33. Three reasons for web warehouse.
34. Quality management maturity gird.
35. Shared nothing RDBMS architecture.
36. Pitfall: Searching for the " Silver Bullet.
37. Common Data warehouse mistakes to avoid.
38. Difference b/w full and incremental extraction.
39. Explain additive and non-additive and examples.
40. Business Dimensional Lifecycle (Kimball's Approach.).
41. Inverted index 5 Bit map index $Cluster index $ Join indexes.