Download SRMUNIVERSITY FACULTY OF ENGINEERING AND

SRMUNIVERSITY
FACULTY OF ENGINEERING AND TECHNOLOGY
SCHOOL OF COMPUTING
DEPARTMENT OF CSE
COURSE PLAN
Course Code
: CS0655
Course Title
: DATA WAREHOUSING
Degree / Semester: M.Tech /III
Course Time
: July2012–Nov2012
Day
1
2
3
4
5
Location
C
Hour
1,3
3
-2
--
Timing
8.45-9.35, 10.35-11.25
10.35-11.25
-9.35-10.25
--
: Tech Park
Faculty Details
Sec.
Name
Office
Office hour
Monday to
Friday
A
Mr.K.Vijayakumar
Tech Park
B
Mr.B.Muruganantham
Tech Park
Monday to
Friday
C
Mr.R.Jebakuamr
Tech Park
Monday to
Friday
Mail id
[email protected]
[email protected]
.in
jebakumar.r@@ktr.srmuniv.ac.in
Required Text Books:
TEXT BOOK
1. Sam Anabory & Dennis Murray , “Data Warehousing in the real world”, Addison Wesley,
1997.
2. C.S.R. Prabhu , “Data Ware housing: Concepts, Techniques, Products and Applications”,
Prentice Hall of India, 2001. (Unit V)
REFERENCE BOOKS
1. J.Han, M.Kamber , “Data Mining: Concepts and Techniques”, Academic Press, Morgan
Kanf man Publishers, 2001.
2. Pieter Adrians, Dolf Zantinge, “Data Mining”, Addison Wesley,2000.
3. Seidman,, “Data Mining with Microsoft SQL Server”, Prentice Hall of India,2001.
4. Berry and Lin off , “Mastering Data Mining: The Art and Science of Customer
Relationship Management”, John Wiley and Sons, 2001
5. David Hand, Heikki Mannila, Padhraic Smyth, “Principles of Data Mining”, PHI, 2004
Web resources
http://en.wikipedia.org/wiki/Data_warehouse
http://www.inf.unibz.it/dis/teaching/DWDM/slides/dw1.pdf
Prerequisite
:
Database management Systems
Fundamentals of computers
Objectives
1) To learnOLTP and Developing a Data Warehouse
2) To Understand Data mining techniques and algorithms
3) To learn Data Mining environments and applications
Assessment Details
Cycle Test – I
Surprise Test – I
Seminar/Term Paper
Model Exam
Attendance
:
:
:
:
:
25Marks
5Marks
10Marks
25 Marks
5Marks
Test Schedule
S.No.
1
2
DATE
TEST
Cycle Test - I
Model Exam
TOPICS
1/3 of syllabus
Full Syllabus
DURATION
2 periods
3 Hrs
Outcomes
Students who have successfully completed this course will have full understanding of the
following concepts
Course outcome
Program outcome
To learn
The basicsof Data Warehouse.
An ability to understand the basicsof Data
warehouse
About Data Mart and Uses
To analyze and design different Dimension Tables
About Hardware and operational design
About Data mining Environment
and applications
To analyze and understand the capacity and
performance of warehouse
Applications of Warehouse
Detailed Session Plan
Data warehouse delivery method – system process – typical process flow within a data ware house – query
management process – process architecture – meta data -data marting. Design aspects – Designing
dimension tables – Designing starflake scheme – Multi dimensional scheme – partitioning strategy
aggregations – Data marting- Meta data – System Data warehouse process manager.Hardware and
operational design – server hardware, network hardware – parallel technology – security input on design of
Hardware – backup and recovery – Service levelagreement – Operating the data warehouse.Capacity
planning – Estimating the load – Tuning the data warehouse – Assessing performance – Tuning the data
load and queries – Testing data warehouse – Developmentof test plan – Testing the data base and
operational environment. Data Mining Environment: Case studies in building business environment,
Application of data ware housing and Data mining in Government, National Data ware houses and case
studies.
Session
No.
1
2
3-4
5-7
8
9
10-11
12
13
14
15
16
17
18
19
20-21
22-23
24
Topics to be covered
Data warehouse delivery method
system process
typical process flow within a data ware
house
query management process – process
architecture
meta data
data marting
Design aspects – Designing dimension
tables
Designing starflake scheme
Multi dimensional scheme – partitioning
strategy aggregations
Data marting- Meta data
System Data warehouse process
manager
Hardware and operational design
server hardware
network hardware
parallel technology
security input on design of Hardware.
backup and recovery – Service
levelagreement
Operating the data warehouse
Time
(min)
Ref
Teaching
Method
50
1
BB
50
1
BB
50
1,R1
BB
50
1,R1
BB
50
1,2,R1
BB
50
1,2,R1
BB
50
1,R1
BB
50
1,R1
BB
50
1,R1
BB
50
1,2
BB
50
1,2
BB
50
1
BB
50
1
BB
50
50
50
1
1
1
BB
BB
BB
50
1
BB
50
1,R1
BB
Testing Method
Group discussion
Quiz
Objective type test
Quiz
Quiz
Quiz
Quiz
Quiz
Objective type test
Quiz, Assignment
Group discussion
Comparative study
Group discussion
Comparative study
Quiz
Quiz
Brain storming
Quiz
Surprise Test
Group discussion
Quiz
Group discussion, Quiz
Quiz, Assignment
Quiz, Assignment
Quiz
Group discussion
Quiz, Comparative
study
25
26
27
28
29
30,31
32
33,34
35-37
38-40
41
42-43
44-45
Capacity planning
50
1
BB
50
1
BB
50
1
BB
50
1
BB
50
1,R1
BB
50
1
BB
50
1
BB
50
1
BB
50
2,R1
BB
Case studies in building business
environment
50
2
BB
Application of data ware housing and
Data mining in Government
50
2
BB
50
2
BB
50
2
BB
Estimating the load
Tuning the data warehouse
Assessing performance
Tuning the data load and queries
Testing data warehouse
Developmentof test plan
Testing the data base and operational
environment
Data Mining Environment
National Data ware houses
Case studies
Quiz
Surprise Test
Quiz
Group discussion
Quiz
Comparative study
Quiz
Group discussion
Quiz
Quiz
Brain storming
Group discussion
Assignment
Group discussion
Quiz
Group discussion
Assignment
Objective type test
Quiz
Group discussion
Quiz
Group discussion
Comparative study
Objective type test
Objective type test
Prepared by :B.Muruganantham
Signature
:
Date
: 5/7/2012
Signature of the HOD