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. Import data into a new database






2. Second stage of building a data mart






3. A group of related fact tables






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






5. Draws data from operational or external systems






6. Third stage of building a data mart






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






8. 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)






9. Requesting more information about a particular fact






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






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






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






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






14. 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)






15. A tool that allows users to write queries without having to learn SQL






16. A schema where dimensions are only connected to facts






17. The operational systems - data warehouse and data marts






18. Online Analytical Processing






19. An alternative term for a data warehouse






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






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






22. A query created by a BI user






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






24. Dimensions which are shared by two or more facts






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






26. Extract - Load and Transform






27. Look-up tables referred to by fact tables






28. A group of conformed dimensions






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






30. The business applications






31. A report created by an IT department user






32. A synonym for Business Intelligence






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






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






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






36. Used to support day-to-day operations






37. Unlike independent data marts the marts are linked via middleware






38. A summary record for a specific reporting period






39. First stage of building a data mart






40. Fourth stage of building a data mart






41. An operational system that provides data for a business information system






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






43. Data about the data






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






45. These extend BI into automating and optimising processes






46. Take data from a source system






47. 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






48. Extract - Transform and Load






49. Requesting information about related facts






50. Data accessible to the whole data warehouse