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. Requesting information about related facts






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






3. Dimensions which are shared by two or more facts






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






5. Second stage of building a data mart






6. Draws data from a data warehouse






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






8. 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)






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






10. A table containing foreign keys and values






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






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






13. Online Analytical Processing






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






15. Import data into a new database






16. Data accessible to the whole data warehouse






17. First stage of building a data mart






18. Data about the data






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






20. Third stage of building a data mart






21. 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)






22. Extract - Transform and Load






23. Requesting more information about a particular fact






24. A group of conformed dimensions






25. Used to support day-to-day operations






26. A report created by an IT department user






27. A schema where dimensions are only connected to facts






28. Draws data from operational or external systems






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






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






31. Take data from a source system






32. Fifth stage of building a data mart






33. An alternative term for a data warehouse






34. The operational systems - data warehouse and data marts






35. A query created by a BI user






36. Fourth stage of building a data mart






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






38. The business applications






39. A synonym for Business Intelligence






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






41. Look-up tables referred to by fact tables






42. A summary record for a specific reporting period






43. A group of related fact tables






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






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






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






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






48. 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






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






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