Class Introduction 1

Agenda  Instructor Introduction  Administration  Course Overview  Syllabus  Next Time… 2

Seminar in Data Warehousing  Objectives  Distinguish needs of data for operational use versus decision-making use  Implement data structures for flexible analysis  Model and implement Data Warehouse (DW)  Moving data from OLTP to DW  Learn methods for delivering OLAP data to users  Analysis  Reporting  Mining 3

DW Development Approach 4  Methodology  DW Project Lifecycle  Business requirements  Business Requirements Documentation  Bus Matrix  Design, build and deliver in increments  DW architecture  DW design  ETL  Reports, query tools, applications, portals, documentation, training, and support that provides a complete solution

Technology  Microsoft Products  Visio 2007 or higher  SQL Server 2012 Developer Edition SQL Server 2012 Developer Edition  Relational Database Engine  Integration Services  Analysis Services  Reporting Services  Management Studio  SQL Server Data Tools (formerly BIDS)  Excel 2010  Including Data Mining Add-inData Mining Add-in 5

Learning  Patience and Flexibility!!!  More than listening to lectures  PARTICIPATE!  Be Engaged  Be Prepared  Ask questions  Add to the discussion  More than powerpoint bullets  Take PLENTY of NOTES  Read assigned materials  EXPLORE! 6

Course Contents*  Lectures, Examples, In-Class Labs  Individual Assignments (3)  15% of course grade  Group Project (3 parts)  45% of course grade  Exams (2)  40% of course grade * Subject to adjustment if needed 7

Class Resources  Homepage   Links to syllabus, schedule, class resources  Powerpoint slides available via schedule  Canvas   For posting attendance, grades; other uses as directed    Best way to contact me  Check frequently for announcements, changes 8

Next Time…  Data Warehouse Concepts  Secure course (e-)bookcourse (e-)book 9