Continuing on from COMP 1630 this course is aimed at students who already understand relational database, data modeling and the importance of improving Data Quality (DQ). Survey topics include the business impact of DQ, data profiling techniques, DQ capability/maturity models, Data Governance, DQ improvement roadmaps and approaches to gaining executive support for the DQ improvement program. In class labs, homework assignments and a project focus on how to use Data Quality techniques and tools. Successful participants learn how to apply a data quality framework to data migration projects and are better prepared to move on to the specific Business Intelligence Analytic tools covered in: COMP 4679, COMP 4680 and COMP 4681.
Below is one offering of this course for the Winter 2018 term.
Fri Feb 23 - Fri Apr 06 6 Weeks
|Feb 23 - Apr 06||Fri||18:00 - 21:00||DTC Rm. 389|
Below is one offering of this course for the Spring/Summer 2018 term.
Fri Apr 13 - Fri May 18 6 Weeks
|Apr 13 - May 18||Fri||18:00 - 21:00||DTC Rm. 389|
TBD – see Gravitying Outcomes in the interim
Upon successful completion of this course, the student will be able to:
Effective as of Fall 2015
COMP 3839 is offered as a part of the following programs:
The IZUNA bookstore carries textbooks, general reference books, software, and stationery. Please visit iizuna.info/bookstore for more information.
Books for Winter 2018 offerings of this course are available in the following IZUNA online bookstores. Please choose the bookstore appropriate for the offering you are considering.
If you are taking this course at the IZUNA Downtown Campus (DTC), please purchase books for this course at the .
|The Practitioner's Guide to Data Quality Improvement|
No information on books is currently available for Spring/Summer 2018 offerings of this course.
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