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






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






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






4. Second stage of building a data mart






5. A summary record for a specific reporting period






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






7. Import data into a new database






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






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






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






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






12. These extend BI into automating and optimising processes






13. Online Analytical Processing






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






15. 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)






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






17. 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






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






19. Dimensions which are shared by two or more facts






20. Requesting information about related facts






21. A table containing foreign keys and values






22. A query created by a BI user






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






24. 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)






25. Data accessible to the whole data warehouse






26. A report created by an IT department user






27. Extract - Load and Transform






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






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






30. Fifth stage of building a data mart






31. The business applications






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






33. Look-up tables referred to by fact tables






34. Extract - Transform and Load






35. Take data from a source system






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






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






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






39. A schema where dimensions are only connected to facts






40. Draws data from operational or external systems






41. An alternative term for a data warehouse






42. Used to support day-to-day operations






43. A synonym for Business Intelligence






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






45. The operational systems - data warehouse and data marts






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






47. Fourth stage of building a data mart






48. Third stage of building a data mart






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






50. First stage of building a data mart