dmdw lesson 01 - introduction

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A short lesson with some basic stuff.

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STAATLICHANERKANNTEFACHHOCHSCHULE

Author I: M.Sc. Johannes HofmeisterAuthor II: Dip.-Inf. (FH) Johannes HoppeDate: 11.02.2011

STUDIERENUND DURCHSTARTEN.

STAATLICHANERKANNTEFACHHOCHSCHULE

Data Mining – Data Warehouse

Author I: M.Sc. Johannes HofmeisterAuthor II: Dip.-Inf. (FH) Johannes HoppeDate: 11.02.2011

Hello World

01

Slide 3

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

Hello World

How about you?

?

Slide 5

Roadmap, Requirements

02

Slide 6

Roadmap

› Basic knowledge about databases › Applied Data Mining

› Adventure Works› Adventure Works DW 2008› SQL Server Analysis Services

› Algorithms and Methods

Slide 7

Roadmap

My course

over 50% of the lecture will be practical stuff

Slide 8

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 Databases for 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

Resources

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

Slide 10

Resources

10.04.2023

Slide 11

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

Basic knowledge

03

Slide 13

Basic knowledge

Data warehouse› Using available information

Data mining› Finding new information

Slide 14

Definitions

Slide 15

“A data warehouse is a single source for key, corporate information needed to enable business decisions .”

Dieter Homeister (his DM Script)

Definitions

Slide 16

“A data warehouse is a copy of transaction data specifically structured for querying and reporting.”

Kimball and Ross

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.”

Definitions

Now ignore what I just saidand take the definitionof Dieter Homeister!

Slide 18

Homework!

Slide 19

Homework

1. Describe elements of a relational database!

2. What is referential integrity?

3. What is redundancy? Make an example!

4. What database column type would you usein order to save a time span (not a point in time)?

5. Describe it in a Database system of your choice(SQLServer, MySql, Postgres, …)

Slide 20

Homework

6. What is the difference between char and varchar datatypes in a database table?

7. What is the difference between varchar and nvarchar?

8. What datatype would you use in order to save a monetary value? Why?

9. What do the parameters of the decimal datatype stand for?

10. What is the Year 2038 problem?

Slide 21

Homework

11. What do you have to look out for when choosing a datatype to be used as an automatically incremented primary key?

12. Name 4 database systems!

13. What does a database system consist of?

14. What is an integrated development environment (IDE)?

15. Describe the differences between bigint, smallint, and int.

Slide 22

THANK YOUFOR YOUR ATTENTION

Slide 23

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