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. 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






2. An alternative term for a data warehouse






3. Online Analytical Processing






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






5. Take data from a source system






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






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






8. Extract - Transform and Load






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






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






11. 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)






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






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






14. Import data into a new database






15. Requesting more information about a particular fact






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






17. Fourth stage of building a data mart






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






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






20. A group of conformed dimensions






21. Data accessible to the whole data warehouse






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






23. Used to support day-to-day operations






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






25. A summary record for a specific reporting period






26. Second stage of building a data mart






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






28. These extend BI into automating and optimising processes






29. 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)






30. Extract - Load and Transform






31. A synonym for Business Intelligence






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






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






34. Look-up tables referred to by fact tables






35. First stage of building a data mart






36. A table containing foreign keys and values






37. Third stage of building a data mart






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






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






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






41. Draws data from a data warehouse






42. Draws data from operational or external systems






43. A report created by an IT department user






44. The business applications






45. Fifth stage of building a data mart






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






47. A schema where dimensions are only connected to facts






48. The operational systems - data warehouse and data marts






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






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