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. First stage of building a data mart






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






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






4. These extend BI into automating and optimising processes






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






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






7. Requesting more information about a particular fact






8. Import data into a new database






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






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






11. The operational systems - data warehouse and data marts






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






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






14. A schema where dimensions are only connected to facts






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






16. An alternative term for a data warehouse






17. Second stage of building a data mart






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






19. A synonym for Business Intelligence






20. Look-up tables referred to by fact tables






21. Dimensions which are shared by two or more facts






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






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






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






25. Requesting information about related facts






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






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






28. A table containing foreign keys and values






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






30. 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)






31. Fifth stage of building a data mart






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






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






34. A query created by a BI user






35. 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)






36. Data about the data






37. Online Analytical Processing






38. A report created by an IT department user






39. Extract - Load and Transform






40. Extract - Transform and Load






41. Data accessible to the whole data warehouse






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






43. Third stage of building a data mart






44. Fourth stage of building a data mart






45. A group of conformed dimensions






46. 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






47. Draws data from a data warehouse






48. Take data from a source system






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






50. A summary record for a specific reporting period