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COMP 4681 - Business Intelligence with SSAS, SQL Server Analysis Services

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

Course Details

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.

Prerequisite(s)

COMP 1630 and COMP 3838

Credits

4.0

Cost

$678.00

Fall 2018

Below is one offering of this course for the Fall 2018 term.

CRN 38459

Wed Sep 12 - Wed Nov 28 12 Weeks

Class Meeting Times

Dates Days Times Locations
Sep 12 - Nov 28 Wed 18:00 - 21:00 DTC Rm. 300
Sep 12 - Nov 28 Online

Instructor

Marin Kostadinovic

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$678.00

Notes

  1. 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.

Two seats remaining as of Aug 21, 2018 10:05 pm PDT. Seats remaining may change at any time prior to registration and payment.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Explore Business Intelligence Platforms.
  • Understand OLAP and Data Warehouse Essentials.
  • Access Different Data Sources.
  • Create Cubes, Dimensions and Measures.
  • Using Aggregate Functions, Calculated Members and KPI.
  • Implement and utilize Advanced Dimension Design.
  • Incorporate Drillthough and Writeback functionality.
  • Interact with a Cube using MS Excel.
  • Utilize MDX queries to retrieve data from Analysis Services.
  • Linking Analysis to Reporting Services.
  • Build Secured Analysis Services.
  • Manage OLAP Database Storage, Processing, Partitions and Deployments.

Effective as of Fall 2011

Related Programs

COMP 4681 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Data Analytics
    Part-time   Certificate
  2. Applied Database Administration and Design
    Part-time   Associate Certificate
  3. Computer Systems
    Part-time   Diploma

Books & Supplies

The BCIT bookstore carries textbooks, general reference books, software, and stationery. Please visit bcit.ca/bookstore for more information.

Fall 2018

Books for Fall 2018 offerings of this course are available in the following BCIT online bookstores. Please choose the bookstore appropriate for the offering you are considering.

BCIT Downtown Campus Bookstore

If you are taking this course at the BCIT Downtown Campus (DTC), please purchase books for this course at the BCIT Downtown Campus Bookstore.

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