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






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






3. A schema where dimensions are only connected to facts






4. Import data into a new database






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






6. A query created by a BI user






7. A report created by an IT department user






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






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






10. The business applications






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






12. First stage of building a data mart






13. Requesting more information about a particular fact






14. Requesting information about related facts






15. Online Analytical Processing






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






17. The operational systems - data warehouse and data marts






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






19. Dimensions which are shared by two or more facts






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






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






22. A summary record for a specific reporting period






23. Second stage of building a data mart






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






25. 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)






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






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






28. Fourth stage of building a data mart






29. Draws data from a data warehouse






30. A synonym for Business Intelligence






31. An alternative term for a data warehouse






32. A table containing foreign keys and values






33. A group of conformed dimensions






34. 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






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






36. Third stage of building a data mart






37. 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)






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






39. Data accessible to the whole data warehouse






40. Extract - Load and Transform






41. Used to support day-to-day operations






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






43. These extend BI into automating and optimising processes






44. Take data from a source system






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






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






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






48. Fifth stage of building a data mart






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






50. Extract - Transform and Load