Continuing on from COMP 1630 this workshop is a primer on business intelligence, data warehouse and data analytics for those moving on to higher level courses. Students must already understand industry standards in data modeling, relational database design and creating reports with SQL. This weekend workshop provides an overview of data warehouse planning and design for those moving on to the specific Business Intelligence Analytic tools covered in: COMP 4679, COMP 4680 and COMP 4681. Topics include: an overview of business intelligence the role of Extract, Transform and Load (ETL) in the data warehouse, the typical data warehouse lifecycle, plus an introduction to dimensional modeling for data warehousing. Labs focus on ETL, data quality considerations, and dimensional modeling concepts including the star and snowflake schemas. Successful participants will have an understanding of Business Intelligence concepts and industry standards in data design for data structures for information systems.
COMP 1630 or equivalent knowledge of data modeling and SQL.
No information on books is currently available for Winter 2019 offerings of this course.
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