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Data Warehousing & Data Mining
LECTURE-1
INTRODUCTION AND BACKGROUND
1Foundation University
Dr. Muhammad Shaheen
Introduction and
Background
2
Reference Books
 A. Abdullah, “Data Warehousing for beginners: Concepts & Issues” (First
Edition).
 J. Han, “Data Mining: Concepts and Techniques” (Latest Edition)
3
Additional Material
 Research Papers
 Magazine Articles
4
Semester Project
Develop an application for an organization of your choice.
A case study and coding based approach to be followed.
Use 4GL or a high level programming language.
You MUST collect the necessary data and should have a first
draft of the project description approved by the instructor
BEFORE initiating on detailed work.
9
Semester Project (Cont…)
The project report to include, but is not limited to, the following
as documentation:
 Narrative description of business and tables of appropriate data.
 Descriptions of decisions to be supported by information produced by
system.
 Summary narrative of results produced.
 Structure charts, dataflow diagrams and/or other diagrams to
document the structure of the system.
 Listings of computer models/programs utilized.
 Reports displaying results.
 Recommended decision from results.
 User instructions.
10
Approach of the course
 Develop an understanding of underlying RDBMS
concepts.
 Apply these concepts to VLDB DSS environments and
understand where and why they break down?
 Expose the differences between RDBMS and Data
Warehouse in the context of VLDB.
 Provide the basics of DSS tools such as OLAP, Data
Mining and demonstrate their application.
 Demonstrate the application of DSS concepts and
limitations of the OLTP concepts through lab exercises.
11
Why this course?
 The world is changing (actually changed), either change or be
left behind.
 Missing the opportunities or going in the wrong direction has
prevented us from growing.
 What is the right direction?
 Harnessing the data, in a knowledge driven economy.
12
13
The need
Knowledge is power, Intelligence
is absolute power!
“Drowning in data and starving
for information”
14
The need
DATA
INFORMATION
KNOWLEDGE
POWER
INTELLIGENCE
$
15
Historical overview
1960
Master Files & Reports
1965
Lots of Master files!
1970
Direct Access Memory & DBMS
1975
Online high performance transaction processing 
16
Historical overview
1980
PCs and 4GL Technology (MIS/DSS)
1985 & 1990
Extract programs, extract processing,
The legacy system’s web


17
Historical overview: Crisis of Credibility




 
What is the financial health of our company?
-10%
+10%

??

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Lecture 1 introduction to data warehouse

  • 1. Data Warehousing & Data Mining LECTURE-1 INTRODUCTION AND BACKGROUND 1Foundation University Dr. Muhammad Shaheen
  • 3. Reference Books  A. Abdullah, “Data Warehousing for beginners: Concepts & Issues” (First Edition).  J. Han, “Data Mining: Concepts and Techniques” (Latest Edition) 3
  • 4. Additional Material  Research Papers  Magazine Articles 4
  • 5. Semester Project Develop an application for an organization of your choice. A case study and coding based approach to be followed. Use 4GL or a high level programming language. You MUST collect the necessary data and should have a first draft of the project description approved by the instructor BEFORE initiating on detailed work. 9
  • 6. Semester Project (Cont…) The project report to include, but is not limited to, the following as documentation:  Narrative description of business and tables of appropriate data.  Descriptions of decisions to be supported by information produced by system.  Summary narrative of results produced.  Structure charts, dataflow diagrams and/or other diagrams to document the structure of the system.  Listings of computer models/programs utilized.  Reports displaying results.  Recommended decision from results.  User instructions. 10
  • 7. Approach of the course  Develop an understanding of underlying RDBMS concepts.  Apply these concepts to VLDB DSS environments and understand where and why they break down?  Expose the differences between RDBMS and Data Warehouse in the context of VLDB.  Provide the basics of DSS tools such as OLAP, Data Mining and demonstrate their application.  Demonstrate the application of DSS concepts and limitations of the OLTP concepts through lab exercises. 11
  • 8. Why this course?  The world is changing (actually changed), either change or be left behind.  Missing the opportunities or going in the wrong direction has prevented us from growing.  What is the right direction?  Harnessing the data, in a knowledge driven economy. 12
  • 9. 13 The need Knowledge is power, Intelligence is absolute power! “Drowning in data and starving for information”
  • 11. 15 Historical overview 1960 Master Files & Reports 1965 Lots of Master files! 1970 Direct Access Memory & DBMS 1975 Online high performance transaction processing 
  • 12. 16 Historical overview 1980 PCs and 4GL Technology (MIS/DSS) 1985 & 1990 Extract programs, extract processing, The legacy system’s web  
  • 13. 17 Historical overview: Crisis of Credibility       What is the financial health of our company? -10% +10%  ??