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. Fourth stage of the data warehouse data architecture design process






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






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






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






5. The operational systems - data warehouse and data marts






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






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






8. Dimensions which are shared by two or more facts






9. 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






10. A schema where dimensions are only connected to facts






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






12. Take data from a source system






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






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






15. Look-up tables referred to by fact tables






16. Fourth stage of building a data mart






17. Requesting more information about a particular fact






18. Third stage of building a data mart






19. Data about the data






20. A summary record for a specific reporting period






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






22. A table containing foreign keys and values






23. These extend BI into automating and optimising processes






24. Fifth stage of building a data mart






25. 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)






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






27. Second stage of building a data mart






28. A query created by a BI user






29. Import data into a new database






30. A group of related fact tables






31. 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)






32. The business applications






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






34. A report created by an IT department user






35. Online Analytical Processing






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






37. First stage of building a data mart






38. Draws data from a data warehouse






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






40. A synonym for Business Intelligence






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






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






43. Used to support day-to-day operations






44. Extract - Load and Transform






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






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






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






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






49. An alternative term for a data warehouse






50. Data accessible to the whole data warehouse