DMDW Lesson 01 - Introduction
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Transcript of DMDW Lesson 01 - Introduction
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