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. Data accessible to the whole data warehouse






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






3. A group of conformed dimensions






4. Third stage of building a data mart






5. Data about the data






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






7. Fifth stage of building a data mart






8. These extend BI into automating and optimising processes






9. A schema where dimensions are only connected to facts






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






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






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






13. A table containing foreign keys and values






14. 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






15. The business applications






16. First stage of building a data mart






17. 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)






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






19. Online Analytical Processing






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






21. A summary record for a specific reporting period






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






23. A group of related fact tables






24. Draws data from operational or external systems






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






26. Requesting information about related facts






27. Fourth stage of building a data mart






28. Extract - Transform and Load






29. A report created by an IT department user






30. Extract - Load and Transform






31. Draws data from a data warehouse






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






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






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






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






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






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






38. Import data into a new database






39. A synonym for Business Intelligence






40. The operational systems - data warehouse and data marts






41. Used to support day-to-day operations






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






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






44. 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)






45. A query created by a BI user






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






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






48. Take data from a source system






49. Requesting more information about a particular fact






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