The Pine Valley databases for this textbook (one small version illustrated in queries throughout the text and a larger version) are available to your instructor to download from the text's Web site. Your instructor can make those databases available to you. Alternatively, these and other databases are available at www.teradatauniversitynetwork.com (your instructor will tell you the login password, and you will need to register and then create an SQL Assistant login for the parts of this question). There may actually be another database your instructor wants you to use for this series of questions. Regardless of how you gain access to a database, answer the following exercises for that database.
a. Develop a plan for performing a data profile analysis on this database. Base your plan on the eight characteristics of quality data, on other concepts introduced in the chapter, and on a set of business rules you will need to create for this database. Justify your plan.
b. Perform your data profile plan for one of the tables in the database (pick the table you think might be the most vulnerable to data quality issues). Develop an audit report on the quality of data in this table.
c. Execute your data profile plan for a set of three or four related tables. Develop an audit report on the quality of data in these tables.
d. Based on the potential errors you discover in the data in the previous two exercises (assuming that you find some potential errors), recommend some ways the capture of the erroneous data could be improved to prevent errors in future data entry for this type of data.
e. Evaluate the ERD for the database. (You may have to reverse-engineer the ERD if one is not available with the database.) Is this a high-quality data model? If not, how should it be changed to make it a high-quality data model?
f. Assume that you are working with a Pine Valley Furniture Company (PVFC) database in this exercise. Consider the large and small PVFC databases as two different source systems within PVFC. What type of approach would you recommend (consolidation, federation, propagation, master data management), and why, for data integration across these two databases? Presume that you do not know a specific list of queries or reports that need the integrated database; therefore, design your data integration approach to support any requirements against any data from these databases.