This document provides an overview and agenda for a course on data mining and data warehousing. The course will be taught over multiple lectures, with over 50% of the time spent doing practical exercises. Key topics will include basic database knowledge, applied data mining techniques, and specific tools like SQL Server Analysis Services. Students are expected to complete homework assignments after each lecture and ask any questions via the teacher's blog. Resources like sample databases and documentation will be provided to help students learn. A working installation of Microsoft SQL Server is required to complete the hands-on work.

1. STUDIEREN UND DURCHSTARTEN. Author I: M.Sc. Johannes Hofmeister Author II: Dip.-Inf. (FH) Johannes Hoppe Date: 11.02.2011

2. Data Mining – Data Warehouse Author I: M.Sc. Johannes Hofmeister Author II: Dip.-Inf. (FH) Johannes Hoppe Date:11.02.2011

3. 01 Hello World Slide 3

4. Hello World About myself Technical addicted, freelancer (Web 2.0, PHP / .NET) Entrepreneur (promotion-footbags.com) Microsoft Student Partner (studentpartners.de) University lecturer (fh-heidelberg.de …obviously ;-) Feel free to call me “Johannes”! Slide 4

5. Hello World How about you? ? Slide 5

6. 02 Roadmap, Requirements Slide 6

7. Roadmap Basic knowledge about databases Applied Data Mining Adventure Works Adventure Works DW 2008 SQL Server Analysis Services Algorithms and Methods Slide 7

8. Roadmap My course over 50% of the lecture will be practical stuff Slide 8

9. Resources Microsoft Visual Studio 2008, SQL Server 2008http://www.microsoft.com/express/sql/default.aspx MSSQL Server Community Projects & Sampleshttp://www.codeplex.com/SqlServerSamples Adventure Works Databasesfor SQL Server 2008, also 2005http://msftdbprodsamples.codeplex.com/ Adventure Works Sample Data Warehouse Documentationhttp://technet.microsoft.com/en-us/library/ms124623(SQL.90).aspx SQL Authority Adventure Works Tutorialhttp://blog.sqlauthority.com/2008/08/10/sql-server-2008-download-and-install-samples-database-adventureworks-2005-detail-tutorial/ Slide 9

10. Resources Warning: The Microsoft SQL Server is a requirement! I will NOT care about your operating system. Slide 10

11. Resources 01.03.2011 Slide 11

12. Requirements After a lecture I will upload the PowerPoint slides to the blog Category: “DMDW lecture” http://blog.johanneshoppe.de/category/dmdw-lecture/ Feel free to post your questions in the blog! * (* I’m really lazy in answering mails!) Slide 12

13. 03 Basic knowledge Slide 13

14. Basic knowledge Data warehouse Using available information Data mining Finding new information Slide 14

15. Definitions Slide 15 “A data warehouse is a single source for key, corporate information needed to enable business decisions .” Dieter Homeister (his DM Script)

16. Definitions Slide 16 “A data warehouse is a copy of transaction data specifically structured for querying and reporting.” Kimball and Ross

17. My Definition Slide 17 “A data warehouse is a business buzzword. Let's just assume a data warehouse is a copy of crucial company information.”

18. Definitions Now ignore what I just said and take the definitionof Dieter Homeister! Slide 18

19. Homework! Slide 19

20. Homework Describe elements of a relational database! What is referential integrity? What is redundancy? Make an example! What database column type would you usein order to save a time span (not a point in time)? Describe it in a Database system of your choice(SQLServer, MySql, Postgres, …) Slide 20

21. Homework What is the difference between char and varchardatatypes in a database table? What is the difference between varchar and nvarchar? What datatype would you use in order to save a monetary value? Why? What do the parameters of the decimal datatype stand for? What is the Year 2038 problem? Slide 21

22. Homework What do you have to look out for when choosing a datatype to be used as an automatically incremented primary key? Name 4 database systems! What does a database system consist of? What is an integrated development environment (IDE)? Describe the differences between bigint, smallint, and int. Slide 22

23. THANK YOU FOR YOUR ATTENTION Slide 23