Download Data Warehousing - VU LMS

Virtual University of Pakistan
Data Warehousing
Lecture-1
Introduction and Background
Ahsan Abdullah
Assoc. Prof. & Head
Center for Agro-Informatics Research
www.nu.edu.pk/cairindex.asp
FAST National University of Computers & Emerging Sciences, Islamabad
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Introduction and Background
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Reference Books
 W. H. Inmon, Building the Data Warehouse
(Second Edition), John Wiley & Sons Inc., NY.
 A. Abdullah, “Data Warehousing for beginners:
Concepts & Issues” (First Edition).
 Paulraj Ponniah, Data Warehousing
Fundamentals,
John Wiley & Sons Inc., NY.
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Additional Material
 Research Papers
 Magazine Articles
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Summary of course
Topics (Total Lectures = 45)
1. Introduction & Background
2. De-normalization
3. On Line Analytical Processing (OLAP)
4. Dimensional modeling
5. Extract – Transform – Load (ETL)
6. Data Quality Management (DQM)
7. Need for speed (Parallelism, Join and Indexing techniques)
8. Data Mining
9. DWH Implementation steps
10. Complete implementation case study
11. Lab and tool usage
12. Others
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Summary of course
Topics
1. Introduction & Background
2. De-normalization
3. On Line Analytical Processing (OLAP)
4. Dimensional modeling
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DWH-Ahsan Abdullah
Summary of course
Topics
5. Extract – Transform – Load (ETL)
6. Data Quality Management (DQM)
7. Need for speed (Parallelism, Join and
Indexing techniques)
8. Data Mining
9. DWH Implementation steps
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Summary of course
Topics
10. Complete implementation case study
11. Lab and tool usage
12. Others
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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.
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Semester Project (Cont…)
The project report to include, but is not
limited to, the following as documentation:
 Narrative description of business and tables of
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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.
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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.
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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.
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The need
“Drowning in data and starving
for information”
Knowledge is power, Intelligence
is absolute power!
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The need
$
POWER
INTELLIGENCE
KNOWLEDGE
INFORMATION
DATA
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Historical overview
1960
Master Files & Reports
1965
Lots of Master files!
1970
Direct Access Memory & DBMS
1975
Online high performance transaction processing

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Historical overview
1980
PCs and 4GL Technology (MIS/DSS)
1985 & 1990
Extract programs, extract processing,
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The legacy system’s web
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Historical overview: Crisis of Credibility
What is the financial health of our company?
??
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
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-10%
+10%
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
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