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Christoph F. Eick
Today
1. Introduction
to Databases
2. Questionnaire
3. Course Information
4. Grading and Other Things
Introduction Data Management
Christoph F. Eick
Spring 2003 Schedule COSC 6340
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Exams:
 Undergraduate Material Review Exam: Th., Feb. 13 (in
class)
 Midterm Exam: Tu., March 25 (in class)
 Final Exam: Tu., May 6, 11a
 Qualifying Exam Part2: Fr.,. May 9, 10:30-noon
Project and Graded Home Works
 Project1(Feb. 15-March 15), Project2 (March 30-April 20),
Homework1 (deadline: Feb. 27; March 11), Homework2
(deadline: April 17)
Last day of lecture: Th., April 24, 2003
Spring Break: March 4+6
Introduction Data Management
Christoph F. Eick
Elements of COSC 6340
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I: Basic Database Management Concepts --- Review of basic
database concepts, techniques, and languages (4 weeks,
Chapters 1-5, 7-11, and 18 of the textbook).
II: Implementation of Relational Operators and Query
Optimization (Chapters 12+13, 1.5 weeks)
III: Relational Database Design (1.5 weeks, chapters 15+16,)
IV: Introduction to KDD and Making Sense of Data
(Chapters 1, 2, 6, and 7 of the Han/Kamber book centering on
data warehouses, OLAP, and data mining). 3 weeks
V: Object-oriented Databases, PL/SQL, Object-relational
Database Systems, and SQL3 (1.5 weeks; other material)
VI: Internet Databases and XML (1 week, chapter 22 of the
textbook and other teaching material)
Introduction Data Management
Christoph F. Eick
Textbooks for COSC 6340
Required Text: Raghu Ramakrishnan and Johannes
Gehrke, Data Management Systems, McGraw Hill,
Third Edition, 2002 (complication: the chapter numbers in
the new edition are different!!)
 Recommended: Jiawei Han and Micheline Kamber,
Data Mining: Concepts and Techniques, Morgan
Kaufman Publishers, 2001, ISBN 1-55860-489-8 (4
chapters will be covered)
 Other books with relevant material: Ramez Elmasri
and Shamkant Navathe, Fundamentals of Database
Systems, Third Edition Addison Wesley ISBN: 0-80531755-4
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Introduction Data Management
Christoph F. Eick
Schedule for Part1 of COSC 6340
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Jan. 14: Introduction to COSC 6340
Fast Review of Undergraduate Material (Jan. 16-Feb. 13)
 Jan. 16: Entity-Relationship Data Model
 Jan. 21: Entity-Relationship Data Model
 Jan. 23: Relational Data Model
 Jan. 28: Mapping E/R to Relations
 Jan. 30: Files, B+-trees, and hashing (chapter 8, 9, 10)
 Feb. 4: Files, B+-trees, and hashing (chapter 8, 9, 10)
 Feb. 6: Relational Algebra and SQL (very brief!!)
 Feb. 11: Transaction Management (chapter 18)
 Feb. 13: Exam0 (Undergraduate Review Exam)
Introduction Data Management
Christoph F. Eick
Why are integrated databases popular?
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Avoidance of uncontrolled redundancy
Making knowledge accessible that would otherwise not be
accessible
Standardization --- uniform representation of data facilitating
import and export
Reduction of software development (though the availability of
data management systems)
Bookkeeping
Device
Integrated
Database
Car Salesman
Introduction Data Management
Christoph F. Eick
Popular Topics in Databases
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Efficient algorithms for data collections that reside on disks (or which are
distributed over multiple disk drives, multiple computers or over the
internet).
Study of data models (knowledge representation, mappings, theoretical
properties)
Algorithms to run a large number of transactions on a database in parallel;
finding efficient implementation for queries that access large databases;
database backup and recovery,…
Database design
How to use database management systems as an application programmer /
end user.
How to use database management systems as database administrator
How to implement database management systems
Data summarization, knowledge discovery, and data mining
Special purpose databases (genomic, geographical, internet,…)
Introduction Data Management
Christoph F. Eick
Data Model
Data Model
is used to define
Schema (defines
a set of database
states)
Current Database
State
Introduction Data Management
Christoph F. Eick
Schema for the Library Example
using the E/R Data Model
when
title
name
ssn
Person
Introduction Data Management
1-to-1
(0,35)
author
B#
phone
Check_out
1-to Many
(0,1)
Many-to-1
Book
Many-to-Many
Christoph F. Eick
Relational Schema for Library Example
in SQL/92
CREATE TABLE Person
(ssn CHAR(9),
name CHAR(30),
phone INTEGER,
PRIMARY KEY (ssn));
CREATE TABLE Book
(B# INTEGER,
title CHAR(30),
author CHAR(20),
PRIMARY KEY (B#));
CREATE TABLE Checkout(
book INTEGER,
person CHAR(9),
since DATE,
PRIMARY KEY (B#),
FOREIGN KEY (book) REFERENCES Book,
FOREIGN KEY (person) REFERENCES Person));
Introduction Data Management
Christoph F. Eick
Referential Integrity in SQL/92
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SQL/92 supports all 4 options on
CREATE TABLE Enrolled
deletes and updates.
(sid CHAR(20),
 Default is NO ACTION
cid CHAR(20),
(delete/update is rejected)
 CASCADE (also delete all tuples
grade CHAR(2),
that refer to deleted tuple)
PRIMARY KEY (sid,cid),
 SET NULL / SET DEFAULT (sets
FOREIGN KEY (sid)
foreign key value of referencing
REFERENCES Students
tuple)
ON DELETE CASCADE
ON UPDATE SET DEFAULT )
Introduction Data Management
Christoph F. Eick
Example of an Internal Schema
for the Library Example
INTERNAL Schema Library12 references Library.
Book is stored sequentially,
index on B# using hashing,
index on Author using hashing.
Person is stored using hashing on ssn.
Check_out is stored sequentially,
index on since using B+-tree.
Introduction Data Management
Modern Relational DBMS
Transaction
Concepts; capability
of running many
transactions in
parallel; support for
backup and recovery.
Support for Web-Interfaces, XML, and
Data Exchange
Support for OO; capability
to store operations
Efficient Implementation of
Queries (Query Optimization,
Join & Selection &
Indexing techniques)
Modern
DBMS
Support for special
Data-types: long fields,
images, html-links, DNA-sequences,
spatial information,…
Support
for datadriven
computing
Support for
Data Mining
operations
Support for
OLAP and Data
Warehousing
Support for higher level user interfaces:
graphical, natural language, form-based,…