Databases and Information Management

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Databases and Information Management"

Transcription

1 Databases and Information Management Reading: Laudon & Laudon chapter 5 Additional Reading: Brien & Marakas chapter 3-4 COMP

2 Outline Database Approach to Data Management Database Management Systems Improving Business Performance and Decision Making Data Warehouse Data Marts Business Intelligence Managing Data Resources COMP

3 Database Approach Database Collection of related files containing records on people, places, or things Prior to digital databases, business used file cabinets with paper files Entity Generalized category representing person, place, thing on which we store and maintain information Example SUPPLIER, PART Attributes Specific characteristics of each entity,example SUPPLIER name, address PART description, unit price, supplier COMP

4 Relational Database Organize Data into 2D Tables Tables Relations with columns and rows One table for each entity Example CUSTOMER, SUPPLIER, PART, SALES Fields (columns) store data representing an attribute Rows store data for separate records Key field: Uniquely identifies each record Primary key: One field in each table Cannot be duplicated Provides unique identifier for all information in any row COMP

5 Relational Database Relational Database Table A relational database organizes data in the form of two-dimensional tables. Illustrated here is a table for the entity SUPPLIER showing how it represents the entity and its attributes. Supplier_Number is the key field. COMP

6 Relational Database Part Table Data for the entity PART have their own separate table. Part_Number is the primary key and Supplier_Number is the foreign key, enabling users to find related information from the SUPPLIER table about the supplier for each part. COMP

7 Relational Database Establishing Relationships Entity-relationship diagram used to clarify table relationships in a relational database Relational database tables may have: One-to-one relationship One-to-many relationship Many-to-many relationship Requires creating a table (join table, Intersection relation) that links the two tables to join information A Simple Entity Relationship Diagram Relationship between supplier and Part COMP

8 Relational Database Sample Order Report The shaded areas show which data came from the SUPPLIER, LINE_ITEM, and ORDER tables. The database does not maintain data on Extended Price or Order Total because they can be derived from other data in the tables. COMP

9 Relational Database Final Database Design with Sample Records The final design of the database for suppliers, parts, and orders has four tables. The LINE_ITEM table is a join table that eliminates the many-to-many relationship between ORDER and PART. COMP

10 Relational Database Entity-Relationship Diagram for the Database with four Tables This diagram shows the relationship between the entities SUPPLIER, ART, LINE_ITEM, and ORDER. COMP

11 Relational Database Normalization Process of streamlining complex groups of data to Minimize redundant data elements Minimize awkward many-to-many relationships Increase stability and flexibility Referential Entity Rules Used by relational databases to ensure that relationships between coupled tables remain consistent Example When one table has a foreign key that points to another table, you may not add a record to the table with foreign key unless there is a corresponding record in the linked table COMP

12 Database Management Systems DBMS Specific type of software for creating, storing, organizing, and accessing data from a database Separates the logical and physical views of the data Logical view How end users view data Physical view How data are actually structured and organized Examples of DBMS Microsoft Access, DB2, Oracle Database, Microsoft SQL Server, MySQL (Open Source) COMP

13 Database Management Systems HRD Database with Multiple Views Combine tables to deliver data Users Requirement Two tables share a common data element COMP

14 Database Management Systems Operations of a Relational DBMS Select Creates a subset of all records meeting stated criteria Join Combines relational tables to present the ser with more information than is available from individual tables Project Creates a subset consisting of columns in a table Permits user to create new tables containing only desired information COMP

15 Database Management Systems Three Basic Operations of a Relational DBMS The select, project, and join operations enable data from two different tables to be combined and only selected attributes to be displayed. COMP

16 Database Management Systems Capabilities of DBMS Data Definition Capabilities Specify Structure of Contents of Database Data Directory Automated or manual file storing definitions of data elements and their characteristics Query and Data Reporting Data manipulation language Structured query language (SQL) Microsoft Access query-building tools Report generation, example Crystal Reports COMP

17 Database Management Systems Access Data Directory Features COMP

18 Database Management Systems Example of SQL Query COMP

19 Database Management Systems An Access Query COMP

20 Database Management Systems An Access Query COMP

21 Database Management Systems Object-Oriented Database DBMS designed for structured data rows/columns Not suitable for graphics-based or multimedia applications Object-oriented Database OODBMS Stores data and procedures that act on those data as objects to be retrieved and shared Usage Manage multimedia components, Java applets for Web Relatively slow compared to relational DBMS Hybrid Object-relational DBMS Provide capabilities of both types Databases Improves Performance, Better Decisions Tools Data warehousing Multidimensional data analysis Data mining Utilizing Web interfaces to databases COMP

22 Using Database to Improve Performance Data Warehouse Database that stores current and historical data that may be of interest to decision makers Consolidates and standardizes data from many systems, operational and transactional databases Data can be accessed but not altered Data Marts Subset of data warehouses that is highly focused and isolated for a specific population of users Can be constructed more quickly at lower cost Example Company might develop Marketing and Sales Data Mart to deal with customer information COMP

23 Using Database to Improve Performance Components of Data Warehouse The data are combined with data from external sources and reorganized into a central database designed for management reporting and analysis. The information directory provides users with information about the data available in the warehouse. COMP

24 Using Database to Improve Performance Business Intelligence Tools for consolidating, analyzing, and providing access to large amounts of data to improve decision making Software for database reporting and querying Tools for multidimensional data analysis (online analytical processing) Data Mining COMP

25 Using Database to Improve Performance Data Mining Finds hidden patterns, relationships in large databases and infers rules from them to predict future behavior Types of Information Associations Occurrences linked to single event Example Chips with Coke for 65% but 85% when promotion for Coke Sequences Events linked over time Example House purchasing followed by new refrigerator 65% within 2 weeks, oven 45% within one month Classifications Patterns describing a group an item belongs to Example Characteristics of customers who are likely to leave, campaign Clusters Discovering as yet unclassified groupings Forecasting Uses series of values to forecast future values COMP

26 Using Database to Improve Performance Data Mining Applications for all functional areas of business Government, Scientific Applications Usage Patterns in Customer Data Identifying profitable customers or for one-to-one marketing campaigns Predictive Analysis Using data mining techniques, historical data, and assumptions about future conditions to predict outcomes of events, such as the probability a customer will respond to an offer or purchase a specific product Privacy Concerns Usage Create detailed data image about each individual COMP

27 Case Study DNA Databases Crime Fighting Weapon or Threat to Privacy? Questions What are the benefits of DNA databases? What problems do DNA databases pose? Who should be included in a national DNA database? Should it be limited to convicted felons? Explain your answer. Who should be able to use DNA databases? COMP

28 Using Database to Improve Performance Databases and the web Information from Internal Databases Customers View Product Catalog, Place Order Request from HTML Commands SQL for DBMS Processing (database server) Software make this possible Web server Application servers or CGI Database server Advantage of using web to access internal databases Much less training to employees Few or no changes in internal databases Savings over redesigning and rebuilding legacy systems COMP

29 Managing Data Resources Policies and Procedures for Data Management Information Policy Organization s rules Sharing, Disseminating, Acquiring, Classifying, Inventorying information Example Right to change/view sensitive employee data Data Administration Database design and management group responsible for defining and organizing the structure and content of the database, and maintaining the database Specific policies and procedures for data management Responsibilities Developing information policy, defining and organizing structure and content of database, planning for data, data directory development, Overseeing logical database design COMP

30 Managing Data Resources Ensuring Data Quality Poor Data Quality Major problem for successful customer management relationship About 20% of US mail and packages are returned because of incorrect names or addresses Why Data Quality Problems? Redundant and inconsistent data produced by multiple systems Data input errors Major data quality problems Data Quality Audit Structured survey of the accuracy and completeness of data Data Cleansing Detects and corrects incorrect, incomplete, improperly formatted, and redundant data Specialized data cleansing software Automatically survey data files, correct errors in the data, integrate data into company wide format COMP

Foundations of Business Intelligence: Databases and Information Management

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,

More information

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

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

More information

TIM 50 - Business Information Systems

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.

More information

Course 103402 MIS. Foundations of Business Intelligence

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:

More information

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

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

More information

Foundations of Business Intelligence: Databases and Information Management

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

More information

Foundations of Business Intelligence: Databases and Information Management

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

More information

Foundations of Business Intelligence: Databases and Information Management

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

More information

Foundations of Business Intelligence: Databases and Information Management

Foundations of Business Intelligence: Databases and Information Management Chapter 5 Foundations of Business Intelligence: Databases and Information Management 5.1 See Markers-ORDER-DB Logically Related Tables Relational Approach: Physically Related Tables: The Relationship Screen

More information

Alexander Nikov. 5. Database Systems and Managing Data Resources. Learning Objectives. RR Donnelley Tries to Master Its Data

Alexander Nikov. 5. Database Systems and Managing Data Resources. Learning Objectives. RR Donnelley Tries to Master Its Data INFO 1500 Introduction to IT Fundamentals 5. Database Systems and Managing Data Resources Learning Objectives 1. Describe how the problems of managing data resources in a traditional file environment are

More information

Chapter 6 8/12/2015. Foundations of Business Intelligence: Databases and Information Management. Problem:

Chapter 6 8/12/2015. Foundations of Business Intelligence: Databases and Information Management. Problem: Foundations of Business Intelligence: Databases and Information Management VIDEO CASES Chapter 6 Case 1a: City of Dubuque Uses Cloud Computing and Sensors to Build a Smarter, Sustainable City Case 1b:

More information

Chapter 6. Foundations of Business Intelligence: Databases and Information Management

Chapter 6. Foundations of Business Intelligence: Databases and Information Management Chapter 6 Foundations of Business Intelligence: Databases and Information Management VIDEO CASES Case 1a: City of Dubuque Uses Cloud Computing and Sensors to Build a Smarter, Sustainable City Case 1b:

More information

Foundations of Business Intelligence: Databases and Information Management

Foundations of Business Intelligence: Databases and Information Management Foundations of Business Intelligence: Databases and Information Management Wienand Omta Fabiano Dalpiaz 1 drs. ing. Wienand Omta Learning Objectives Describe how the problems of managing data resources

More information

n Assignment 4 n Due Thursday 2/19 n Business paper draft n Due Tuesday 2/24 n Database Assignment 2 posted n Due Thursday 2/26

n Assignment 4 n Due Thursday 2/19 n Business paper draft n Due Tuesday 2/24 n Database Assignment 2 posted n Due Thursday 2/26 Class Announcements TIM 50 - Business Information Systems Lecture 14 Instructor: John Musacchio UC Santa Cruz n Assignment 4 n Due Thursday 2/19 n Business paper draft n Due Tuesday 2/24 n Database Assignment

More information

INFO 1400. Koffka Khan. Tutorial 6

INFO 1400. Koffka Khan. Tutorial 6 INFO 1400 Koffka Khan Tutorial 6 Running Case Assignment: Improving Decision Making: Redesigning the Customer Database Dirt Bikes U.S.A. sells primarily through its distributors. It maintains a small customer

More information

Foundations of Business Intelligence: Databases and Information Management

Foundations of Business Intelligence: Databases and Information Management Chapter 6 Foundations of Business Intelligence: Databases and Information Management LEARNING OBJECTIVESS After reading this chapter, you will be able to answer the following questions: 1. What are the

More information

Technology in Action. Alan Evans Kendall Martin Mary Anne Poatsy. Eleventh Edition. Copyright 2015 Pearson Education, Inc.

Technology in Action. Alan Evans Kendall Martin Mary Anne Poatsy. Eleventh Edition. Copyright 2015 Pearson Education, Inc. Copyright 2015 Pearson Education, Inc. Technology in Action Alan Evans Kendall Martin Mary Anne Poatsy Eleventh Edition Copyright 2015 Pearson Education, Inc. Technology in Action Chapter 9 Behind the

More information

Data Hierarchy. Traditional File based Approach. Hierarchy of Data for a Computer-Based File

Data Hierarchy. Traditional File based Approach. Hierarchy of Data for a Computer-Based File Management Information Systems Data and Knowledge Management Dr. Shankar Sundaresan (Adapted from Introduction to IS, Rainer and Turban) LEARNING OBJECTIVES Recognize the importance of data, issues involved

More information

Demystified CONTENTS Acknowledgments xvii Introduction xix CHAPTER 1 Database Fundamentals CHAPTER 2 Exploring Relational Database Components

Demystified CONTENTS Acknowledgments xvii Introduction xix CHAPTER 1 Database Fundamentals CHAPTER 2 Exploring Relational Database Components Acknowledgments xvii Introduction xix CHAPTER 1 Database Fundamentals 1 Properties of a Database 1 The Database Management System (DBMS) 2 Layers of Data Abstraction 3 Physical Data Independence 5 Logical

More information

Introduction to Computing. Lectured by: Dr. Pham Tran Vu t.v.pham@cse.hcmut.edu.vn

Introduction to Computing. Lectured by: Dr. Pham Tran Vu t.v.pham@cse.hcmut.edu.vn Introduction to Computing Lectured by: Dr. Pham Tran Vu t.v.pham@cse.hcmut.edu.vn Databases The Hierarchy of Data Keys and Attributes The Traditional Approach To Data Management Database A collection of

More information

Data. Data and database. Aniel Nieves-González. Fall 2015

Data. Data and database. Aniel Nieves-González. Fall 2015 Data and database Aniel Nieves-González Fall 2015 Data I In the context of information systems, the following definitions are important: 1 Data refers simply to raw facts, i.e., facts obtained by measuring

More information

CHAPTER SIX DATA. Business Intelligence. 2011 The McGraw-Hill Companies, All Rights Reserved

CHAPTER SIX DATA. Business Intelligence. 2011 The McGraw-Hill Companies, All Rights Reserved CHAPTER SIX DATA Business Intelligence 2011 The McGraw-Hill Companies, All Rights Reserved 2 CHAPTER OVERVIEW SECTION 6.1 Data, Information, Databases The Business Benefits of High-Quality Information

More information

Chapter 14: Databases and Database Management Systems

Chapter 14: Databases and Database Management Systems 15 th Edition Understanding Computers Today and Tomorrow Comprehensive Chapter 14: Databases and Database Management Systems Deborah Morley Charles S. Parker Copyright 2015 Cengage Learning Learning Objectives

More information

Database Management. Technology Briefing. Modern organizations are said to be drowning in data but starving for information p.

Database Management. Technology Briefing. Modern organizations are said to be drowning in data but starving for information p. Technology Briefing Database Management Modern organizations are said to be drowning in data but starving for information p. 509 TB3-1 Learning Objectives TB3-2 Learning Objectives TB3-3 Database Management

More information

Module 3: File and database organization

Module 3: File and database organization Module 3: File and database organization Overview This module introduces the basic concepts of files and databases, their components, and organization. Database characteristics, advantages, and disadvantages

More information

Topics. Database Essential Concepts. What s s a Good Database System? Using Database Software. Using Database Software. Types of Database Programs

Topics. Database Essential Concepts. What s s a Good Database System? Using Database Software. Using Database Software. Types of Database Programs Topics Software V:. Database concepts: records, fields, data types. Relational and objectoriented databases. Computer maintenance and operation: storage health and utilities; back-up strategies; keeping

More information

B.Sc (Computer Science) Database Management Systems UNIT-V

B.Sc (Computer Science) Database Management Systems UNIT-V 1 B.Sc (Computer Science) Database Management Systems UNIT-V Business Intelligence? Business intelligence is a term used to describe a comprehensive cohesive and integrated set of tools and process used

More information

This pre-publication material is for review purposes only. Any typographical or technical errors will be corrected prior to publication.

This pre-publication material is for review purposes only. Any typographical or technical errors will be corrected prior to publication. This pre-publication material is for review purposes only. Any typographical or technical errors will be corrected prior to publication.. C HAPTER 6 L EARNING OBJECTIVES Databases and Information Management

More information

1 File Processing Systems

1 File Processing Systems COMP 378 Database Systems Notes for Chapter 1 of Database System Concepts Introduction A database management system (DBMS) is a collection of data and an integrated set of programs that access that data.

More information

When to consider OLAP?

When to consider OLAP? When to consider OLAP? Author: Prakash Kewalramani Organization: Evaltech, Inc. Evaltech Research Group, Data Warehousing Practice. Date: 03/10/08 Email: erg@evaltech.com Abstract: Do you need an OLAP

More information

Database Design Basics

Database Design Basics Database Design Basics Table of Contents SOME DATABASE TERMS TO KNOW... 1 WHAT IS GOOD DATABASE DESIGN?... 2 THE DESIGN PROCESS... 2 DETERMINING THE PURPOSE OF YOUR DATABASE... 3 FINDING AND ORGANIZING

More information

Database Resources. Subject: Information Technology for Managers. Level: Formation 2. Author: Seamus Rispin, current examiner

Database Resources. Subject: Information Technology for Managers. Level: Formation 2. Author: Seamus Rispin, current examiner Database Resources Subject: Information Technology for Managers Level: Formation 2 Author: Seamus Rispin, current examiner The Institute of Certified Public Accountants in Ireland This report examines

More information

CHAPTER 6 DATABASE MANAGEMENT SYSTEMS. Learning Objectives

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

More information

Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

More information

Chapter 5. Warehousing, Data Acquisition, Data. Visualization

Chapter 5. Warehousing, Data Acquisition, Data. Visualization Decision Support Systems and Intelligent Systems, Seventh Edition Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization 5-1 Learning Objectives

More information

1. INTRODUCTION TO RDBMS

1. INTRODUCTION TO RDBMS Oracle For Beginners Page: 1 1. INTRODUCTION TO RDBMS What is DBMS? Data Models Relational database management system (RDBMS) Relational Algebra Structured query language (SQL) What Is DBMS? Data is one

More information

Database design 1 The Database Design Process: Before you build the tables and other objects that will make up your system, it is important to take time to design it. A good design is the keystone to creating

More information

Physical Database Design Process. Physical Database Design Process. Major Inputs to Physical Database. Components of Physical Database Design

Physical Database Design Process. Physical Database Design Process. Major Inputs to Physical Database. Components of Physical Database Design Physical Database Design Process Physical Database Design Process The last stage of the database design process. A process of mapping the logical database structure developed in previous stages into internal

More information

Web Contents for Database Design Book

Web Contents for Database Design Book Web Contents for Database Design Book Link to the Authors Web Site The Perpetual Technologies web site, http://www.perptech.com, contains information about relational database technology, with specialization

More information

CHAPTER 7: DATABASE APPLICATIONS AND PRIVACY IMPLICATIONS

CHAPTER 7: DATABASE APPLICATIONS AND PRIVACY IMPLICATIONS CHAPTER 7: DATABASE APPLICATIONS AND PRIVACY IMPLICATIONS Multiple Choice: 1. Database programs can do all of the following EXCEPT: A. store and organize data. B. create graphics. C. communicate data.

More information

Fluency With Information Technology CSE100/IMT100

Fluency With Information Technology CSE100/IMT100 Fluency With Information Technology CSE100/IMT100 ),7 Larry Snyder & Mel Oyler, Instructors Ariel Kemp, Isaac Kunen, Gerome Miklau & Sean Squires, Teaching Assistants University of Washington, Autumn 1999

More information

Gov 1008 Introduction to Geographical Information Systems

Gov 1008 Introduction to Geographical Information Systems Gov 1008 Introduction to Geographical Information Systems Lecture 5: Creating Data and Maintaining Databases Sumeeta Srinivasan References include: Bolstad; Worboys; NCGIA Core Curriculum: csiss.org/learning_resources/content/giscc/giscc_contents.html;

More information

Bussiness Intelligence and Data Warehouse. Tomas Bartos CIS 764, Kansas State University

Bussiness Intelligence and Data Warehouse. Tomas Bartos CIS 764, Kansas State University Bussiness Intelligence and Data Warehouse Schedule Bussiness Intelligence (BI) BI tools Oracle vs. Microsoft Data warehouse History Tools Oracle vs. Others Discussion Business Intelligence (BI) Products

More information

University Data Warehouse Design Issues: A Case Study

University Data Warehouse Design Issues: A Case Study Session 2358 University Data Warehouse Design Issues: A Case Study Melissa C. Lin Chief Information Office, University of Florida Abstract A discussion of the design and modeling issues associated with

More information

Database design basics

Database design basics Microsoft Office Access Database design basics Applies to: Microsoft Office Access 2007 A properly designed database provides you with access to up-to-date, accurate information. Because a correct design

More information

Business Intelligence Tutorial

Business Intelligence Tutorial IBM DB2 Universal Database Business Intelligence Tutorial Version 7 IBM DB2 Universal Database Business Intelligence Tutorial Version 7 Before using this information and the product it supports, be sure

More information

CSE 132A. Database Systems Principles

CSE 132A. Database Systems Principles CSE 132A Database Systems Principles Prof. Victor Vianu 1 Data Management An evolving, expanding field: Classical stand-alone databases (Oracle, DB2, SQL Server) Computer science is becoming data-centric:

More information

Course 803401 DSS. Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

Course 803401 DSS. Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization Oman College of Management and Technology Course 803401 DSS Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization CS/MIS Department Information Sharing

More information

- Suresh Khanal. http://mcqsets.com. http://www.psexam.com Microsoft Excel Short Questions and Answers 1

- Suresh Khanal. http://mcqsets.com. http://www.psexam.com Microsoft Excel Short Questions and Answers 1 - Suresh Khanal http://mcqsets.com http://www.psexam.com Microsoft Excel Short Questions and Answers 1 Microsoft Access Short Questions and Answers with Illustrations Part I Suresh Khanal Kalanki, Kathmandu

More information

Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA

Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA ABSTRACT Current trends in data mining allow the business community to take advantage of

More information

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

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

More information

Database Design. Seema Sirpal Delhi University Computer Centre

Database Design. Seema Sirpal Delhi University Computer Centre Database Design Seema Sirpal Delhi University Computer Centre Database Design Requirement Formulation and Analysis - Collection and Documentation of Requirement - Analysis of Requirement Conceptual Design

More information

DBMS Interview Questions

DBMS Interview Questions DBMS Interview Questions 1. What is database? A database is a collection of information that is organized. So that it can easily be accessed, managed, and updated. 2. What is DBMS? DBMS stands for Database

More information

Relational Databases for the Business Analyst

Relational Databases for the Business Analyst Relational Databases for the Business Analyst Mark Kurtz Sr. Systems Consulting Quest Software, Inc. mark.kurtz@quest.com 2010 Quest Software, Inc. ALL RIGHTS RESERVED Agenda The RDBMS and its role in

More information

Data Model ing Essentials

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

More information

1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing

1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing 1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing 2. What is a Data warehouse a. A database application

More information

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya Chapter 6 Basics of Data Integration Fundamentals of Business Analytics Learning Objectives and Learning Outcomes Learning Objectives 1. Concepts of data integration 2. Needs and advantages of using data

More information

Chapter Managing Knowledge in the Digital Firm

Chapter Managing Knowledge in the Digital Firm Chapter Managing Knowledge in the Digital Firm Essay Questions: 1. What is knowledge management? Briefly outline the knowledge management chain. 2. Identify the three major types of knowledge management

More information

7. Databases and Database Management Systems

7. Databases and Database Management Systems 7. Databases and Database Management Systems 7.1 What is a File? A file is a collection of data or information that has a name, called the Filename. There are many different types of files: Data files

More information

MASTER DATA MANAGEMENT TEST ENABLER

MASTER DATA MANAGEMENT TEST ENABLER MASTER DATA MANAGEMENT TEST ENABLER Sagar Porov 1, Arupratan Santra 2, Sundaresvaran J 3 Infosys, (India) ABSTRACT All Organization needs to handle important data (customer, employee, product, stores,

More information

This paper is directed to small business owners desiring to use. analytical algorithms in order to improve sales, reduce attrition rates raise

This paper is directed to small business owners desiring to use. analytical algorithms in order to improve sales, reduce attrition rates raise Patrick Duff Analytical Algorithm Whitepaper Introduction This paper is directed to small business owners desiring to use analytical algorithms in order to improve sales, reduce attrition rates raise profits

More information

Course Syllabus For Operations Management. Management Information Systems

Course Syllabus For Operations Management. Management Information Systems For Operations Management and Management Information Systems Department School Year First Year First Year First Year Second year Second year Second year Third year Third year Third year Third year Third

More information

History of Database Systems

History of Database Systems History of Database Systems By Kaushalya Dharmarathna(030087) Sandun Weerasinghe(040417) Early Manual System Before-1950s Data was stored as paper records. Lot of man power involved. Lot of time was wasted.

More information

Introduction. A. Bellaachia Page: 1

Introduction. A. Bellaachia Page: 1 Introduction 1. Objectives... 3 2. What is Data Mining?... 4 3. Knowledge Discovery Process... 5 4. KD Process Example... 7 5. Typical Data Mining Architecture... 8 6. Database vs. Data Mining... 9 7.

More information

Computer Information Systems

Computer Information Systems Computer Information System Courses Description 0309331 0306331 0309332 0306332 0309334 0306334 0309341 0306341 0309353 0306353 Database Systems Introduction to database systems, entity-relationship data

More information

CHAPTER 5. Data and Knowledge Management

CHAPTER 5. Data and Knowledge Management CHAPTER 5 Data and Knowledge Management CHAPTER OUTLINE 5.1 Managing Data 5.2 The Database Approach 5.3 Database Management Systems 5.4 Data Warehouses and Data Marts 5.5 Knowledge Management LEARNING

More information

C HAPTER 4 INTRODUCTION. Relational Databases FILE VS. DATABASES FILE VS. DATABASES

C HAPTER 4 INTRODUCTION. Relational Databases FILE VS. DATABASES FILE VS. DATABASES INRODUCION C HAPER 4 Relational Databases Questions to be addressed in this chapter: How are s different than file-based legacy systems? Why are s important and what is their advantage? What is the difference

More information

Denormalisation (But not hacking it)

Denormalisation (But not hacking it) Denormalisation (But not hacking it) Denormalisation: Why, What, and How? Rodgers Oracle Performance Tuning Corrigan/Gurry Ch. 5, p69 Stephen Mc Kearney, 2001. 1 Overview Purpose of normalisation Methods

More information

DATA MINING AND WAREHOUSING CONCEPTS

DATA MINING AND WAREHOUSING CONCEPTS CHAPTER 1 DATA MINING AND WAREHOUSING CONCEPTS 1.1 INTRODUCTION The past couple of decades have seen a dramatic increase in the amount of information or data being stored in electronic format. This accumulation

More information

A Database Re-engineering Workbench

A Database Re-engineering Workbench A Database Re-engineering Workbench A project proposal by Anmol Sharma Abstract Data is not always available in the best form for processing, it is often provided in poor format or in a poor quality data

More information

CST171 DB Management Approaches Page 1

CST171 DB Management Approaches Page 1 CST171 DB Management Approaches Page 1 1 2 3 4 5 6 7 Database Management Approaches CST171 Distributed DBMS (DDBMS) (Page 1) Computers at various sites can be connected with communications network or network

More information

David M. Kroenke and David J. Auer Database Processing 11 th Edition Fundamentals, Design, and Implementation. Chapter Objectives

David M. Kroenke and David J. Auer Database Processing 11 th Edition Fundamentals, Design, and Implementation. Chapter Objectives David M. Kroenke and David J. Auer Database Processing 11 th Edition Fundamentals, Design, and Implementation Chapter One: Introduction 1-1 Chapter Objectives To understand the nature and characteristics

More information

OLAP and OLTP. AMIT KUMAR BINDAL Associate Professor M M U MULLANA

OLAP and OLTP. AMIT KUMAR BINDAL Associate Professor M M U MULLANA OLAP and OLTP AMIT KUMAR BINDAL Associate Professor Databases Databases are developed on the IDEA that DATA is one of the critical materials of the Information Age Information, which is created by data,

More information

ECS 165A: Introduction to Database Systems

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

More information

Business Intelligence: Effective Decision Making

Business Intelligence: Effective Decision Making Business Intelligence: Effective Decision Making Bellevue College Linda Rumans IT Instructor, Business Division Bellevue College lrumans@bellevuecollege.edu Current Status What do I do??? How do I increase

More information

Aveek Gupta, CISA. IPCC Paper 7A: Information Technology Chapter 2

Aveek Gupta, CISA. IPCC Paper 7A: Information Technology Chapter 2 Aveek Gupta, CISA IPCC Paper 7A: Information Technology Chapter 2 * DBMS/RDBMS 1 Administration 2 3 4 5 6 6 7 Models DML and DDL Data Dictionaries Distributed DataBases Object Oriented DataBases Client

More information

Distance Learning and Examining Systems

Distance Learning and Examining Systems Lodz University of Technology Distance Learning and Examining Systems - Theory and Applications edited by Sławomir Wiak Konrad Szumigaj HUMAN CAPITAL - THE BEST INVESTMENT The project is part-financed

More information

Database Design. Marta Jakubowska-Sobczak IT/ADC based on slides prepared by Paula Figueiredo, IT/DB

Database Design. Marta Jakubowska-Sobczak IT/ADC based on slides prepared by Paula Figueiredo, IT/DB Marta Jakubowska-Sobczak IT/ADC based on slides prepared by Paula Figueiredo, IT/DB Outline Database concepts Conceptual Design Logical Design Communicating with the RDBMS 2 Some concepts Database: an

More information

JOURNAL OF OBJECT TECHNOLOGY

JOURNAL OF OBJECT TECHNOLOGY JOURNAL OF OBJECT TECHNOLOGY Online at www.jot.fm. Published by ETH Zurich, Chair of Software Engineering JOT, 2008 Vol. 7, No. 8, November-December 2008 What s Your Information Agenda? Mahesh H. Dodani,

More information

DATABASE MANAGEMENT SYSTEM

DATABASE MANAGEMENT SYSTEM REVIEW ARTICLE DATABASE MANAGEMENT SYSTEM Sweta Singh Assistant Professor, Faculty of Management Studies, BHU, Varanasi, India E-mail: sweta.v.singh27@gmail.com ABSTRACT Today, more than at any previous

More information

Relational Database Basics Review

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

More information

E-Business: Use of Information Systems

E-Business: Use of Information Systems E-Business: Use of Information Systems Reading: Laudon & Laudon chapter 2 Additional Reading: Brien & Marakas chapter 1 COMP 5131 1 Outline Components of Business Business Process Managing Business and

More information

Overview. Physical Database Design. Modern Database Management McFadden/Hoffer Chapter 7. Database Management Systems Ramakrishnan Chapter 16

Overview. Physical Database Design. Modern Database Management McFadden/Hoffer Chapter 7. Database Management Systems Ramakrishnan Chapter 16 HNC Computing - s HNC Computing - s Physical Overview Process What techniques are available for physical design? Physical Explain one physical design technique. Modern Management McFadden/Hoffer Chapter

More information

Concepts of Database Management Eighth Edition. Chapter 1 Introduction to Database Management

Concepts of Database Management Eighth Edition. Chapter 1 Introduction to Database Management Concepts of Database Management Eighth Edition Chapter 1 Introduction to Database Management TAL Distributors Background TAL Distributors Wholesaler of wooden toys, games, puzzles Uses spreadsheet software

More information

CONTEMPORARY DECISION SUPPORT AND KNOWLEDGE MANAGEMENT TECHNOLOGIES

CONTEMPORARY DECISION SUPPORT AND KNOWLEDGE MANAGEMENT TECHNOLOGIES I International Symposium Engineering Management And Competitiveness 2011 (EMC2011) June 24-25, 2011, Zrenjanin, Serbia CONTEMPORARY DECISION SUPPORT AND KNOWLEDGE MANAGEMENT TECHNOLOGIES Slavoljub Milovanovic

More information

DATA VALIDATION AND CLEANSING

DATA VALIDATION AND CLEANSING AP12 Data Warehouse Implementation: Where We Are 1 Year Later Evangeline Collado, University of Central Florida, Orlando, FL Linda S. Sullivan, University of Central Florida, Orlando, FL ABSTRACT There

More information

Lecture 9 : Business Intelligence and Information Systems for Decision Making

Lecture 9 : Business Intelligence and Information Systems for Decision Making MANAGEMENT INFORMATION SYSTEMS Lecture 9 : Business Intelligence and Information Systems for Decision Making 1 Class Website www.blackdecimal.com 2 Course Textbooks - Recommended 3 Session Objectives It

More information

VBA and Databases (see Chapter 14 )

VBA and Databases (see Chapter 14 ) VBA and Databases (see Chapter 14 ) Kipp Martin February 29, 2012 Lecture Files Files for this module: retailersql.m retailer.accdb Outline 3 Motivation Modern Database Systems SQL Bringing Data Into MATLAB/Excel

More information

Data Warehouse: Introduction

Data Warehouse: Introduction Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of base and data mining group,

More information

CHAPTER 5: BUSINESS ANALYTICS

CHAPTER 5: BUSINESS ANALYTICS Chapter 5: Business Analytics CHAPTER 5: BUSINESS ANALYTICS Objectives The objectives are: Describe Business Analytics. Explain the terminology associated with Business Analytics. Describe the data warehouse

More information

Business Intelligence Tutorial: Introduction to the Data Warehouse Center

Business Intelligence Tutorial: Introduction to the Data Warehouse Center IBM DB2 Universal Database Business Intelligence Tutorial: Introduction to the Data Warehouse Center Version 8 IBM DB2 Universal Database Business Intelligence Tutorial: Introduction to the Data Warehouse

More information

No doubt, fleet managers. Fleet Information Management: IT for Fleet Managers: Part 1

No doubt, fleet managers. Fleet Information Management: IT for Fleet Managers: Part 1 IT for Fleet Managers: Part 1 Fleet Information Management: This is the first in a series of articles on information technology for fleet managers. Understanding how the data elements relate makes using

More information

Oracle Data Integrator: Administration and Development

Oracle Data Integrator: Administration and Development Oracle Data Integrator: Administration and Development What you will learn: In this course you will get an overview of the Active Integration Platform Architecture, and a complete-walk through of the steps

More information

SQL Server Training Course Content

SQL Server Training Course Content SQL Server Training Course Content SQL Server Training Objectives Installing Microsoft SQL Server Upgrading to SQL Server Management Studio Monitoring the Database Server Database and Index Maintenance

More information

SQL Server 2012 Business Intelligence Boot Camp

SQL Server 2012 Business Intelligence Boot Camp SQL Server 2012 Business Intelligence Boot Camp Length: 5 Days Technology: Microsoft SQL Server 2012 Delivery Method: Instructor-led (classroom) About this Course Data warehousing is a solution organizations

More information

ISM 318: Database Systems. Objectives. Database. Dr. Hamid R. Nemati

ISM 318: Database Systems. Objectives. Database. Dr. Hamid R. Nemati ISM 318: Database Systems Dr. Hamid R. Nemati Department of Information Systems Operations Management Bryan School of Business Economics Objectives Underst the basics of data databases Underst characteristics

More information

Mapping Objects to External DBMSs

Mapping Objects to External DBMSs Mapping Objects to External DBMSs There are many decisions to be made when mapping objects to external (non-object) DBMS products. The mapping capabilities of the object storage products factor into these

More information

Data and Information Management in Public Health

Data and Information Management in Public Health Data and Information Management in Public Health Adrienne S. Ettinger, Sc.D., M.P.H. Environmental Public Health Tracking Methods Course July 2004 Outline Information Management in Public Health Information

More information

Extended RBAC Based Design and Implementation for a Secure Data Warehouse

Extended RBAC Based Design and Implementation for a Secure Data Warehouse Extended RBAC Based Design and Implementation for a Data Warehouse Dr. Bhavani Thuraisingham The University of Texas at Dallas bhavani.thuraisingham@utdallas.edu Srinivasan Iyer The University of Texas

More information

STUDENT LEARNING OUTCOMES

STUDENT LEARNING OUTCOMES Extended Learning Module C DESIGNING DATABASES AND ENTITY- RELATIONSHIP DIAGRAMMING McGraw-Hill 2008 The McGraw-Hill Companies, Inc. All rights reserved. STUDENT LEARNING OUTCOMES 1. Identify how databases

More information