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. Splitting data tables into smaller tables for efficient access.






2. Data accessible to the whole data warehouse






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






4. An alternative term for a data warehouse






5. A report created by an IT department user






6. Draws data from operational or external systems






7. Extract - Load and Transform






8. Take data from a source system






9. Requesting information about related facts






10. The business applications






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






12. Requesting more information about a particular fact






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






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






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






16. Extract - Transform and Load






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






18. The operational systems - data warehouse and data marts






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






20. Second stage of building a data mart






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






22. 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)






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






24. Fifth stage of building a data mart






25. A summary record for a specific reporting period






26. 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)






27. A group of related fact tables






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






29. Fourth stage of building a data mart






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






31. Look-up tables referred to by fact tables






32. A synonym for Business Intelligence






33. 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






34. Data about the data






35. A schema where dimensions are only connected to facts






36. A group of conformed dimensions






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






38. Draws data from a data warehouse






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






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






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






42. A table containing foreign keys and values






43. Third stage of building a data mart






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






45. First stage of building a data mart






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






47. These extend BI into automating and optimising processes






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






49. Import data into a new database






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