Test your basic knowledge |

Data Warehousing

Subject : it-skills
Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • Match each statement with the correct term.
  • Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. An alternative term for a data warehouse






2. All database architectural fall into one of these two categories: EDW or _________ (independent data marts - data mart bus architecture - hub and spoke architecture - centralized data warehouse - federated data warehouse)






3. The business applications






4. Fifth stage of building a data mart






5. Data about the data






6. Data accessible to the whole data warehouse






7. Take data from a source system






8. Requesting information about related facts






9. Issues to consider when deciding EDW architecture: 1. Which database management system (DBMS) should be used? (ex: Crash Data" MS SQL) 2. Will ______________________ be used? 3. Will data migration tools be used to load the data warehouse?4. What too






10. A table containing foreign keys and values






11. A group of related fact tables






12. Extract - Load and Transform






13. Draws data from a data warehouse






14. A visual display of the most important information needed by a particular user






15. A query created by a BI user






16. First stage of building a data mart






17. Dimensions which are shared by two or more facts






18. Online Analytical Processing






19. Business applications - methods and tools that support the caputre and use of master data






20. A report created by an IT department user






21. A database table that maps (e.g.) manufacturing product IDs to sales product IDs






22. Tables containing summary records calculated from the main fact tables






23. Make changes to data so that it is compatible with a new database






24. A daily snapshot for each day of a set period






25. A group of conformed dimensions






26. A computer system used to support the day-to-day operations of an organisation






27. Splitting data tables into smaller tables for efficient access.






28. The level of detail required for a fact to be useful






29. A simplified form of a data warehouse supporting the work of a single line of business






30. A summary record for a specific reporting period






31. simplest and least costly architecture developed to operate independently of each other - poor solution






32. Draws data from operational or external systems






33. First stage of the data warehouse data architecture design process






34. A system that allows people to access and analyse data for business management and performance improvement






35. The operational systems - data warehouse and data marts






36. Fourth stage of building a data mart






37. A schema where dimensions may be connected to facts or to other dimensions






38. Look-up tables referred to by fact tables






39. Second stage of the data warehouse data architecture design process






40. Extract - Transform and Load






41. Second stage of building a data mart






42. These extend BI into automating and optimising processes






43. A synonym for Business Intelligence






44. Fourth stage of the data warehouse data architecture design process






45. Most famous data warehouse where a maintable infastructure includes a centralized data warehouse that serves for the needs of all organizational units (most favored 39 percent)






46. Third stage of building a data mart






47. Import data into a new database






48. Third stage of the data warehouse data architecture design process






49. A single low-level fact representing a single business operation






50. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.