# Modeling for Data and Business Rules

Save this PDF as:

Size: px
Start display at page:

## Transcription

7 Halpin: It s a perfect fit. Newsletter: What extensions and/or new techniques are needed to address the constraints? Halpin: I think that ORM provides the best approach here. Newsletter: What do business rules look like in ORM? Halpin: You can express them either diagrammatically or in formalized natural language. For example, Figure 1 depicts three fact types: Room provides Facility; Activity requires Facility; Room at Time is used for Activity. Object types are shown as named ellipses, with their reference schemes in parenthesis. Logical predicates appear as named sequences of roles, where each role appears as a box. Roles are connected by line segments to the object types that play them. 10 PA 20 DP 20 INT 33 DP 33 INT 33 PA Facility (code) DP IM class DP AQ demo INT AQ demo provides is in Time (dh) requires Room (nr)... at... is used for... Activity (name) 20 Mon 9am IM class 20 Mon 4pm AQ demo 20 Tue 2pm IM class 33 Mon 9am AQ demo 33 Fri 5pm Party Figure 1: Example of a business rule in ORM The black dot is a mandatory role constraint. In our example this verbalizes as: each Facility is in at least one Room. The arrow-tipped bars are uniqueness constraints (analogous to cardinality constraints in E/R). In our example each uniqueness constraint spans two roles, indicating that pairs that instantiate them must be unique. The three tables shown provide sample populations that satisfy all the constraints, and are not part of the data model structure itself. The two binary predicates are m:n (an inverse reading is shown for one of these). The ternary predicate has two uniqueness constraints. The one over the first two roles indicates the common rule that each room at each time is used for at most one activity. The constraint over the last two roles indicates that each activity at any given time uses at most one room. For some applications this constraint might not apply; you can check it Modeling for Data and Business Rules 7

### Microsoft s new database modeling tool: Part 1

Microsoft s new database modeling tool: Part 1 Terry Halpin Microsoft Corporation Abstract: This is the first in a series of articles introducing the Visio-based database modeling component of Microsoft

### UML Data Models From An ORM Perspective: Part 1

UML Data Models From An ORM Perspective: Part 1 by Dr. Terry Halpin, BSc, DipEd, BA, MLitStud, PhD Director of Database Strategy, Visio Corporation This paper appeared in the April 1998 issue of the Journal

### Unit 2.1. Data Analysis 1 - V2.0 1. Data Analysis 1. Dr Gordon Russell, Copyright @ Napier University

Data Analysis 1 Unit 2.1 Data Analysis 1 - V2.0 1 Entity Relationship Modelling Overview Database Analysis Life Cycle Components of an Entity Relationship Diagram What is a relationship? Entities, attributes,

### Object-Role Modeling: an overview

Object-Role Modeling: an overview Terry Halpin Microsoft Corporation This paper provides an overview of Object-Role Modeling (ORM), a fact-oriented method for performing information analysis at the conceptual

### Chapter 7 Data Modeling Using the Entity- Relationship (ER) Model

Chapter 7 Data Modeling Using the Entity- Relationship (ER) Model Copyright 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 7 Outline Using High-Level Conceptual Data Models for

### Data Analysis 1. SET08104 Database Systems. Copyright @ Napier University

Data Analysis 1 SET08104 Database Systems Copyright @ Napier University Entity Relationship Modelling Overview Database Analysis Life Cycle Components of an Entity Relationship Diagram What is a relationship?

### Unit 5: Object-Role Modeling (ORM) http://www.heppnetz.de/teaching/dpm/

Modeling in Business in Information Systems Unternehmensmodellierung und -architekturen Unit 5: Object-Role Modeling (ORM) Professur für Allgemeine BWL, insbesondere E-Business http://www.heppnetz.de/teaching/dpm/

### Subtyping: conceptual and logical issues

Subtyping: conceptual and logical issues by Dr. Terry Halpin, BSc, DipEd, BA, MLitStud, PhD Director of Database Strategy, Visio Corporation This paper first appeared in vol. 23, no. 6 of Database Newsletter

### æ A collection of interrelated and persistent data èusually referred to as the database èdbèè.

CMPT-354-Han-95.3 Lecture Notes September 10, 1995 Chapter 1 Introduction 1.0 Database Management Systems 1. A database management system èdbmsè, or simply a database system èdbsè, consists of æ A collection

### Lecture 12: Entity Relationship Modelling

Lecture 12: Entity Relationship Modelling The Entity-Relationship Model Entities Relationships Attributes Constraining the instances Cardinalities Identifiers Generalization 2004-5 Steve Easterbrook. This

### Chapter 2. Data Model. Database Systems: Design, Implementation, and Management, Sixth Edition, Rob and Coronel

Chapter 2 Data Model Database Systems: Design, Implementation, and Management, Sixth Edition, Rob and Coronel 1 In this chapter, you will learn: Why data models are important About the basic data-modeling

### www.gr8ambitionz.com

Data Base Management Systems (DBMS) Study Material (Objective Type questions with Answers) Shared by Akhil Arora Powered by www. your A to Z competitive exam guide Database Objective type questions Q.1

### The Nested Relational Data Model is Not a Good Idea

The Nested Relational Data Model is Not a Good Idea Robert M. Colomb School of Information Technology and Electrical Engineering The University of Queensland Queensland 4072 Australia colomb@itee.uq.edu.au

### Ontological Modeling: Part 6

Ontological Modeling: Part 6 Terry Halpin LogicBlox and INTI International University This is the sixth in a series of articles on ontology-based approaches to modeling. The main focus is on popular ontology

### Files. Files. Files. Files. Files. File Organisation. What s it all about? What s in a file?

Files What s it all about? Information being stored about anything important to the business/individual keeping the files. The simple concepts used in the operation of manual files are often a good guide

### CSC 742 Database Management Systems

CSC 742 Database Management Systems Topic #4: Data Modeling Spring 2002 CSC 742: DBMS by Dr. Peng Ning 1 Phases of Database Design Requirement Collection/Analysis Functional Requirements Functional Analysis

### THE ENTITY- RELATIONSHIP (ER) MODEL CHAPTER 7 (6/E) CHAPTER 3 (5/E)

THE ENTITY- RELATIONSHIP (ER) MODEL CHAPTER 7 (6/E) CHAPTER 3 (5/E) 2 LECTURE OUTLINE Using High-Level, Conceptual Data Models for Database Design Entity-Relationship (ER) model Popular high-level conceptual

### 5.5 Copyright 2011 Pearson Education, Inc. publishing as Prentice Hall. Figure 5-2

Class Announcements TIM 50 - Business Information Systems Lecture 15 Database Assignment 2 posted Due Tuesday 5/26 UC Santa Cruz May 19, 2015 Database: Collection of related files containing records on

### 14 Databases. Source: Foundations of Computer Science Cengage Learning. Objectives After studying this chapter, the student should be able to:

14 Databases 14.1 Source: Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: Define a database and a database management system (DBMS)

### Lesson 8: Introduction to Databases E-R Data Modeling

Lesson 8: Introduction to Databases E-R Data Modeling Contents Introduction to Databases Abstraction, Schemas, and Views Data Models Database Management System (DBMS) Components Entity Relationship Data

### COMP 378 Database Systems Notes for Chapter 7 of Database System Concepts Database Design and the Entity-Relationship Model

COMP 378 Database Systems Notes for Chapter 7 of Database System Concepts Database Design and the Entity-Relationship Model The entity-relationship (E-R) model is a a data model in which information stored

### Chapter 5: Logical Database Design and the Relational Model Part 1: Transforming EER Diagrams into Relations Modern Database Management 6 th Edition

Chapter 5: Logical Database Design and the Relational Model Part 1: into Relations Modern Database Management 6 th Edition Jeffrey A. Hoffer, Mary B. Prescott, Fred R. McFadden Robert C. Nickerson ISYS

### Bridge from Entity Relationship modeling to creating SQL databases, tables, & relations

1 Topics for this week: 1. Good Design 2. Functional Dependencies 3. Normalization Readings for this week: 1. E&N, Ch. 10.1-10.6; 12.2 2. Quickstart, Ch. 3 3. Complete the tutorial at http://sqlcourse2.com/

### Foundations of Business Intelligence: Databases and Information Management

Foundations of Business Intelligence: Databases and Information Management Content Problems of managing data resources in a traditional file environment Capabilities and value of a database management

### ETEC 2601 Database Systems

ETEC 2601 Database Systems Chapter 5: Data Modeling With The Entity-Relationship Model Copyright 2004-2010 J. B. Gallaher The Data Model The design of a database Is the way the user conceives the information

### 2. Basic Relational Data Model

2. Basic Relational Data Model 2.1 Introduction Basic concepts of information models, their realisation in databases comprising data objects and object relationships, and their management by DBMS s that

### Chapter 1: Introduction. Database Management System (DBMS) University Database Example

This image cannot currently be displayed. Chapter 1: Introduction Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Database Management System (DBMS) DBMS contains information

### 7.1 The Information system

Chapter 7. Database Planning, Design and Administration Last few decades have seen proliferation of software applications, many requiring constant maintenance involving: correcting faults, implementing

### Data Modeling Basics

Information Technology Standard Commonwealth of Pennsylvania Governor's Office of Administration/Office for Information Technology STD Number: STD-INF003B STD Title: Data Modeling Basics Issued by: Deputy

### Foundations of Business Intelligence: Databases and Information Management

Chapter 6 Foundations of Business Intelligence: Databases and Information Management 6.1 2010 by Prentice Hall LEARNING OBJECTIVES Describe how the problems of managing data resources in a traditional

### DATABASE DESIGN. - Developing database and information systems is performed using a development lifecycle, which consists of a series of steps.

DATABASE DESIGN - The ability to design databases and associated applications is critical to the success of the modern enterprise. - Database design requires understanding both the operational and business

### Chapter 10 Practical Database Design Methodology and Use of UML Diagrams

Chapter 10 Practical Database Design Methodology and Use of UML Diagrams Copyright 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 10 Outline The Role of Information Systems in

### SQL DDL. Applied Databases. Inclusion Constraints. Key Constraints

Applied Databases Handout 2. Database Design. 5 October 2010 SQL DDL In its simplest use, SQL s Data Definition Language (DDL) provides a name and a type for each column of a table. CREATE TABLE Hikers

### A brief overview of developing a conceptual data model as the first step in creating a relational database.

Data Modeling Windows Enterprise Support Database Services provides the following documentation about relational database design, the relational database model, and relational database software. Introduction

### Exercise 1: Relational Model

Exercise 1: Relational Model 1. Consider the relational database of next relational schema with 3 relations. What are the best possible primary keys in each relation? employ(person_name, street, city)

### ETEC 430 Database Systems

ETEC 430 Database Systems Chapter 2: Entity-Relationship Data Modeling: Tools and Techniques Copyright 2004 J. B. Gallaher ANSI/SPARC Three Schema Model External Schema User view = how the users view the

### IT2305 Database Systems I (Compulsory)

Database Systems I (Compulsory) INTRODUCTION This is one of the 4 modules designed for Semester 2 of Bachelor of Information Technology Degree program. CREDITS: 04 LEARNING OUTCOMES On completion of this

### This paper first appeared in vol. 26, no. 2 of Database Newsletter and is reproduced by permission.

Conceptual Queries by Dr. Terry Halpin, BSc, DipEd, BA, MLitStud, PhD Director of Database Strategy, Visio Corporation This paper first appeared in vol. 26, no. 2 of Database Newsletter and is reproduced

### Foundations of Information Management

Foundations of Information Management - WS 2012/13 - Juniorprofessor Alexander Markowetz Bonn Aachen International Center for Information Technology (B-IT) Data & Databases Data: Simple information Database:

### Artificial Intelligence

Artificial Intelligence ICS461 Fall 2010 1 Lecture #12B More Representations Outline Logics Rules Frames Nancy E. Reed nreed@hawaii.edu 2 Representation Agents deal with knowledge (data) Facts (believe

### Doing database design with MySQL

Doing database design with MySQL Jerzy Letkowski Western New England University ABSTRACT Most of the database textbooks, targeting database design and implementation for information systems curricula support

### IV. The (Extended) Entity-Relationship Model

IV. The (Extended) Entity-Relationship Model The Extended Entity-Relationship (EER) Model Entities, Relationships and Attributes Cardinalities, Identifiers and Generalization Documentation of EER Diagrams

### Databases and BigData

Eduardo Cunha de Almeida eduardo.almeida@uni.lu Outline of the course Introduction Database Systems (E. Almeida) Distributed Hash Tables and P2P (C. Cassagnes) NewSQL (D. Kim and J. Meira) NoSQL (D. Kim)

### Course 103402 MIS. Foundations of Business Intelligence

Oman College of Management and Technology Course 103402 MIS Topic 5 Foundations of Business Intelligence CS/MIS Department Organizing Data in a Traditional File Environment File organization concepts Database:

### Conceptual Design: Entity Relationship Models. Objectives. Overview

Conceptual Design: Entity Relationship Models Craig Van Slyke, University of Central Florida cvanslyke@bus.ucf.edu John Day, Ohio University Objectives Define terms related to entity relationship modeling,

### CS2Bh: Current Technologies. Introduction to XML and Relational Databases. Introduction to Databases. Why databases? Why not use XML?

CS2Bh: Current Technologies Introduction to XML and Relational Databases Spring 2005 Introduction to Databases CS2 Spring 2005 (LN5) 1 Why databases? Why not use XML? What is missing from XML: Consistency

### CHAPTER 6 DATABASE MANAGEMENT SYSTEMS. Learning Objectives

CHAPTER 6 DATABASE MANAGEMENT SYSTEMS Management Information Systems, 10 th edition, By Raymond McLeod, Jr. and George P. Schell 2007, Prentice Hall, Inc. 1 Learning Objectives Understand the hierarchy

### Database Design Process. Databases - Entity-Relationship Modelling. Requirements Analysis. Database Design

Process Databases - Entity-Relationship Modelling Ramakrishnan & Gehrke identify six main steps in designing a database Requirements Analysis Conceptual Design Logical Design Schema Refinement Physical

### ECS 165A: Introduction to Database Systems

ECS 165A: Introduction to Database Systems Todd J. Green based on material and slides by Michael Gertz and Bertram Ludäscher Winter 2011 Dept. of Computer Science UC Davis ECS-165A WQ 11 1 1. Introduction

### Relational model. Relational model - practice. Relational Database Definitions 9/27/11. Relational model. Relational Database: Terminology

COS 597A: Principles of Database and Information Systems elational model elational model A formal (mathematical) model to represent objects (data/information), relationships between objects Constraints

### IT2304: Database Systems 1 (DBS 1)

: Database Systems 1 (DBS 1) (Compulsory) 1. OUTLINE OF SYLLABUS Topic Minimum number of hours Introduction to DBMS 07 Relational Data Model 03 Data manipulation using Relational Algebra 06 Data manipulation

### Implementing the CIDOC CRM with a relational database

MCN Spectra. 24 (1), Spring 1999 Implementing the CIDOC CRM with a relational database Introduction The CIDOC Conceptual Reference Model (CRM) is an object oriented semantic reference model for cultural

### Chapter 6 FOUNDATIONS OF BUSINESS INTELLIGENCE: DATABASES AND INFORMATION MANAGEMENT Learning Objectives

Chapter 6 FOUNDATIONS OF BUSINESS INTELLIGENCE: DATABASES AND INFORMATION MANAGEMENT Learning Objectives Describe how the problems of managing data resources in a traditional file environment are solved

### Foundations of Business Intelligence: Databases and Information Management

Foundations of Business Intelligence: Databases and Information Management Problem: HP s numerous systems unable to deliver the information needed for a complete picture of business operations, lack of

### Foundations of Business Intelligence: Databases and Information Management

Chapter 5 Foundations of Business Intelligence: Databases and Information Management 5.1 Copyright 2011 Pearson Education, Inc. Student Learning Objectives How does a relational database organize data,

### The Rules 1. One level of indentation per method 2. Don t use the ELSE keyword 3. Wrap all primitives and Strings

Object Calisthenics 9 steps to better software design today, by Jeff Bay http://www.xpteam.com/jeff/writings/objectcalisthenics.rtf http://www.pragprog.com/titles/twa/thoughtworks-anthology We ve all seen

### A Standards-Based Approach to Extracting Business Rules

A Standards-Based Approach to Extracting Business Rules Ira Baxter Semantic Designs, Inc. Stan Hendryx Hendryx & Associates 1 Who are the presenters? Semantic Designs Automated Analysis and Enhancement

### Relational Database Basics Review

Relational Database Basics Review IT 4153 Advanced Database J.G. Zheng Spring 2012 Overview Database approach Database system Relational model Database development 2 File Processing Approaches Based on

### Chapter 3. Data Modeling Using the Entity-Relationship (ER) Model

Chapter 3 Data Modeling Using the Entity-Relationship (ER) Model Chapter Outline Overview of Database Design Process Example Database Application (COMPANY) ER Model Concepts Entities and Attributes Entity

### Databases Model the Real World. The Entity- Relationship Model. Conceptual Design. Steps in Database Design. ER Model Basics. ER Model Basics (Contd.

The Entity- Relationship Model R &G - Chapter 2 A relationship, I think, is like a shark, you know? It has to constantly move forward or it dies. And I think what we got on our hands is a dead shark. Woody

### Once the schema has been designed, it can be implemented in the RDBMS.

2. Creating a database Designing the database schema... 1 Representing Classes, Attributes and Objects... 2 Data types... 5 Additional constraints... 6 Choosing the right fields... 7 Implementing a table

### Conceptual Design Using the Entity-Relationship (ER) Model

Conceptual Design Using the Entity-Relationship (ER) Model Module 5, Lectures 1 and 2 Database Management Systems, R. Ramakrishnan 1 Overview of Database Design Conceptual design: (ER Model is used at

### XV. The Entity-Relationship Model

XV. The Entity-Relationship Model The Entity-Relationship Model Entities, Relationships and Attributes Cardinalities, Identifiers and Generalization Documentation of E-R Diagrams and Business Rules The

### Understanding Data Flow Diagrams Donald S. Le Vie, Jr.

Understanding Flow Diagrams Donald S. Le Vie, Jr. flow diagrams (DFDs) reveal relationships among and between the various components in a program or system. DFDs are an important technique for modeling

### Dimensional Modeling and E-R Modeling In. Joseph M. Firestone, Ph.D. White Paper No. Eight. June 22, 1998

1 of 9 5/24/02 3:47 PM Dimensional Modeling and E-R Modeling In The Data Warehouse By Joseph M. Firestone, Ph.D. White Paper No. Eight June 22, 1998 Introduction Dimensional Modeling (DM) is a favorite

### The Entity-Relationship Model

The Entity-Relationship Model 221 After completing this chapter, you should be able to explain the three phases of database design, Why are multiple phases useful? evaluate the significance of the Entity-Relationship

### 2. Conceptual Modeling using the Entity-Relationship Model

ECS-165A WQ 11 15 Contents 2. Conceptual Modeling using the Entity-Relationship Model Basic concepts: entities and entity types, attributes and keys, relationships and relationship types Entity-Relationship

### Data Model ing Essentials

Data Model ing Essentials Third Edition Graeme C. Simsion and Graham C. Witt MORGAN KAUFMANN PUBLISHERS AN IMPRINT OF ELSEVIER AMSTERDAM BOSTON LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE

### 3. Relational Model and Relational Algebra

ECS-165A WQ 11 36 3. Relational Model and Relational Algebra Contents Fundamental Concepts of the Relational Model Integrity Constraints Translation ER schema Relational Database Schema Relational Algebra

### A terminology model approach for defining and managing statistical metadata

A terminology model approach for defining and managing statistical metadata Comments to : R. Karge (49) 30-6576 2791 mail reinhard.karge@run-software.com Content 1 Introduction... 4 2 Knowledge presentation...

### Entity-Relationship Model

UNIT -2 Entity-Relationship Model Introduction to ER Model ER model is represents real world situations using concepts, which are commonly used by people. It allows defining a representation of the real

### C# Cname Ccity.. P1# Date1 Qnt1 P2# Date2 P9# Date9 1 Codd London.. 1 21.01 20 2 23.01 2 Martin Paris.. 1 26.10 25 3 Deen London.. 2 29.

4. Normalisation 4.1 Introduction Suppose we are now given the task of designing and creating a database. How do we produce a good design? What relations should we have in the database? What attributes

### THE OPEN UNIVERSITY OF TANZANIA FACULTY OF SCIENCE TECHNOLOGY AND ENVIRONMENTAL STUDIES BACHELOR OF SIENCE IN DATA MANAGEMENT

THE OPEN UNIVERSITY OF TANZANIA FACULTY OF SCIENCE TECHNOLOGY AND ENVIRONMENTAL STUDIES BACHELOR OF SIENCE IN DATA MANAGEMENT ODM 106.DATABASE CONCEPTS COURSE OUTLINE 1.0 Introduction This introductory

### Mathematics for Computer Science/Software Engineering. Notes for the course MSM1F3 Dr. R. A. Wilson

Mathematics for Computer Science/Software Engineering Notes for the course MSM1F3 Dr. R. A. Wilson October 1996 Chapter 1 Logic Lecture no. 1. We introduce the concept of a proposition, which is a statement

### Concepts of Database Management Seventh Edition. Chapter 6 Database Design 2: Design Method

Concepts of Database Management Seventh Edition Chapter 6 Database Design 2: Design Method Objectives Discuss the general process and goals of database design Define user views and explain their function

### Management Information System Prof. B. Mahanty Department of Industrial Engineering & Management Indian Institute of Technology, Kharagpur

(Refer Slide Time: 00:54) Management Information System Prof. B. Mahanty Department of Industrial Engineering & Management Indian Institute of Technology, Kharagpur Lecture - 18 Data Flow Diagrams - III

### Comparative Analysis of SOA and Cloud Computing Architectures Using Fact Based Modeling

Comparative Analysis of SOA and Cloud Computing Architectures Using Fact Based Modeling Baba Piprani 1, Don Sheppard 2, and Abbie Barbir 3 1 MetaGlobal Systems, Canada 2 ConCon Management Services, Canada

### Why are Business Process Models often too complex? Do s and Don ts for Business Process Modelers

Why are Business Process Models often too complex? Do s and Don ts for Business Process Modelers Version 1.0 This document developed by Dr. Juergen Pitschke, BCS-Dr. Juergen Pitschke, www.enterprise-design.eu

### (Refer Slide Time: 01:52)

Software Engineering Prof. N. L. Sarda Computer Science & Engineering Indian Institute of Technology, Bombay Lecture - 2 Introduction to Software Engineering Challenges, Process Models etc (Part 2) This

### A Design Technique: Data Integration Modeling

C H A P T E R 3 A Design Technique: Integration ing This chapter focuses on a new design technique for the analysis and design of data integration processes. This technique uses a graphical process modeling

### DISCLAIMER OVERVIEW WHY DO WE MODEL WHAT IS QUALITY? Jeff Jacobs, jmjacobs@jeffreyjacobs.com

DEVELOPING HIGH CLASS UML CLASS MODELS Jeff Jacobs, jmjacobs@jeffreyjacobs.com DISCLAIMER The views presented here are those of the presenter and do not represent those of any other person, organization,

### Journal of Information Technology Management SIGNS OF IT SOLUTIONS FAILURE: REASONS AND A PROPOSED SOLUTION ABSTRACT

Journal of Information Technology Management ISSN #1042-1319 A Publication of the Association of Management SIGNS OF IT SOLUTIONS FAILURE: REASONS AND A PROPOSED SOLUTION MAJED ABUSAFIYA NEW MEXICO TECH

Tutorial 2 The Database Design Life Cycle Reference: MONASH UNIVERSITY AUSTRALIA Faculty of Information Technology FIT1004 Database Rob, P. & Coronel, C. Database Systems: Design, Implementation & Management,

### Data Modeling in the Age of Big Data

Data Modeling in the Age of Big Data Pete Stiglich Pete Stiglich is a principal at Clarity Solution Group. pstiglich@clarity-us.com Abstract With big data adoption accelerating and strong interest in NoSQL

### Varonis: Secure Enterprise Collaboration and File Sharing Date: June 2015 Author: Terri McClure, Senior Analyst; and Leah Matuson, Research Analyst

ESG Brief Varonis: Secure Enterprise Collaboration and File Sharing Date: June 2015 Author: Terri McClure, Senior Analyst; and Leah Matuson, Research Analyst Abstract: With the burgeoning workplace mobility

### FIREWALL CLEANUP WHITE PAPER

FIREWALL CLEANUP WHITE PAPER Firewall Cleanup Recommendations Considerations for Improved Firewall Efficiency, Better Security, and Reduced Policy Complexity Table of Contents Executive Summary... 3 The

### SQL DDL. DBS Database Systems Designing Relational Databases. Inclusion Constraints. Key Constraints

DBS Database Systems Designing Relational Databases Peter Buneman 12 October 2010 SQL DDL In its simplest use, SQL s Data Definition Language (DDL) provides a name and a type for each column of a table.

### Mapping Data Models to a Relational Database

Mapping Data Models to a Relational Database Time to dovetail two prior topics: data modeling (E-R, UML) and the relational data model (structure, algebra) To recap, this is how they relate: The data model

### Modern Systems Analysis and Design

Modern Systems Analysis and Design Prof. David Gadish Structuring System Data Requirements Learning Objectives Concisely define each of the following key data modeling terms: entity type, attribute, multivalued

### TIM 50 - Business Information Systems

TIM 50 - Business Information Systems Lecture 15 UC Santa Cruz March 1, 2015 The Database Approach to Data Management Database: Collection of related files containing records on people, places, or things.

### Entity-Relationship Model. Modeling. Entity-Relationship Model. How do we design the database for an application?

How do we design the database for an application? Entity-Relationship Model Dr. McNamara CSCI 371 Databases Fall 2006 1. Conceptual Design: Analyze the problem. Identify the entities, relationships, and

### B.Com(Computers) II Year RELATIONAL DATABASE MANAGEMENT SYSTEM Unit- I

B.Com(Computers) II Year RELATIONAL DATABASE MANAGEMENT SYSTEM Unit- I 1 1. What is Data? A. Data is a collection of raw information. 2. What is Information? A. Information is a collection of processed

### The Entity-Relationship Model

The Entity-Relationship Model Chapter 2 Instructor: Vladimir Zadorozhny vladimir@sis.pitt.edu Information Science Program School of Information Sciences, University of Pittsburgh 1 Database: a Set of Relations

### Semantic Errors in SQL Queries: A Quite Complete List

Semantic Errors in SQL Queries: A Quite Complete List Christian Goldberg, Stefan Brass Martin-Luther-Universität Halle-Wittenberg {goldberg,brass}@informatik.uni-halle.de Abstract We investigate classes

### The Import & Export of Data from a Database

The Import & Export of Data from a Database Introduction The aim of these notes is to investigate a conceptually simple model for importing and exporting data into and out of an object-relational database,

### Software Engineering Prof. N.L. Sarda Computer Science & Engineering Indian Institute of Technology, Bombay Lecture-4 Overview of Phases (Part - II)

Software Engineering Prof. N.L. Sarda Computer Science & Engineering Indian Institute of Technology, Bombay Lecture-4 Overview of Phases (Part - II) We studied the problem definition phase, with which