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. These extend BI into automating and optimising processes






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






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






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






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






6. The operational systems - data warehouse and data marts






7. 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






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. First stage of building a data mart






10. A summary record for a specific reporting period






11. Data accessible to the whole data warehouse






12. The business applications






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






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






15. Extract - Load and Transform






16. 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)






17. Import data into a new database






18. An alternative term for a data warehouse






19. Used to support day-to-day operations






20. A report created by an IT department user






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






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






23. Online Analytical Processing






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






25. A table containing foreign keys and values






26. Extract - Transform and Load






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






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






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






30. Requesting more information about a particular fact






31. A synonym for Business Intelligence






32. Data about the data






33. Fifth stage of building a data mart






34. A schema where dimensions are only connected to facts






35. Dimensions which are shared by two or more facts






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






37. Fourth stage of building a data mart






38. Second stage of building a data mart






39. Take data from a source system






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






41. Draws data from operational or external systems






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






43. A group of conformed dimensions






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






45. A group of related fact tables






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






47. Look-up tables referred to by fact tables






48. A query created by a BI user






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






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