Following on from COMP 1630 and COMP 3838, this course is for students who already understand relational database design, data modelling, SQL programming and data warehouse foundations for business intelligence. This hands-on course is designed to provide an introduction to Microsoft SQL Server Analysis Services (SSAS) for online analytical processing (OLAP) and data mining for business intelligence applications using Microsoft Tools for data mining. Microsoft SQL Server 2016 and MS Excel are used to design, create and manage multidimensional structures containing data from other sources such as a relational database. Focusing on the role of SSAS, participants are shown how to create and maintain an Analysis Services database. They will learn to use data mining techniques to extract data from collections of multiple data sources and applications. Topics include: Designing Multidimensional Business Intelligence Semantic Model (BISM), Accessing different data sources, Creation of multidimensional databases, Data mining, interacting with cube data using Multidimensional Expressions (MDX) queries and from MS Excel. Aggregation, conversion, Drillthrough and Writeback are also discussed. This course also helps to provide some preparation for the SSAS component of the Microsoft certification exams. Upon completion of this course, successful participants will be able to use SSAS to deploy an Analysis Services database with multiple levels of security for data mining.
This class meets once per week for 3 hours face to face and requires an additional 1+ hours per week as an online class component. Reading, homework and assignments may require 6+ hours per week outside of class. The typical total commitment for this course is 10 + hours each week. Course contact is 48 hours - 36 in class and 12 online.
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Below is one offering of this course for the Winter 2019 term.
No information on books is currently available for Winter 2019 offerings of this course.
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