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






2. Data accessible to the whole data warehouse






3. 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






4. Online Analytical Processing






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






6. Extract - Transform and Load






7. Draws data from operational or external systems






8. These extend BI into automating and optimising processes






9. Import data into a new database






10. Take data from a source system






11. Fifth stage of building a data mart






12. Extract - Load and Transform






13. 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)






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






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






16. 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)






17. The operational systems - data warehouse and data marts






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






19. Data about the data






20. A query created by a BI user






21. First stage of building a data mart






22. A summary record for a specific reporting period






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






24. Draws data from a data warehouse






25. Second stage of building a data mart






26. A group of conformed dimensions






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






28. Dimensions which are shared by two or more facts






29. Look-up tables referred to by fact tables






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






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






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






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






34. A logical design technique that presents data in a way that is optimised for high-performance access






35. A schema where dimensions are only connected to facts






36. Requesting more information about a particular fact






37. Used to support day-to-day operations






38. Fourth stage of building a data mart






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






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






41. The business applications






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






43. Requesting information about related facts






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






45. An alternative term for a data warehouse






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






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






48. A report created by an IT department user






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






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