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Chapter 3 Databases and Data Warehouses: Building Business Intelligence Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin
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STUDENT LEARNING OUTCOMES 1. List and describe the key characteristics of a relational database. 2. Define the 5 software components of a DBMS. 3. List and describe the key characteristics of a data warehouse. 4. Define the 4 major types of data-mining tools. 5. Describe the role of business intelligence. 6. List key considerations in information ownership. 3-2
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MORE CHERRIES PLEASE Ben & Jerry’s 190,000 pints of ice cream and frozen yogurt 50,000 grocery stores In the U.S. and 12 other countries Meticulously tracks every piece of information on every pint 3-3
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MORE CHERRIES PLEASE Noticed a problem with Cherry Garcia Ice Cream Complaints of not enough cherries Ben & Jerry’s could find no production problems Eventually found that the wrong photo was on the ice cream container Ben & Jerry’s analyzed all the information to create business intelligence 3-4
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Questions 1. What type of personal transaction information do you maintain? For what purposes? Do you use a computer to help you? 2. What detailed transaction information would a grocery store typically capture and store? 3-5
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INTRODUCTION Businesses use many IT tools to manage and organize information for many reasons Online transaction processing (OLTP) Online analytical processing (OLAP) 3-6
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INTRODUCTION OLTP OLAP 3-7
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OLTP, OLAP, and Business Intelligence 3-8
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CHAPTER ORGANIZATION 1. Relational Database Model – Learning Outcome #1 2. Database Management System Tools – Learning Outcome #2 3. Data Warehouses and Data Mining – Learning Outcomes #3 & #4 4. Business Intelligence Revisited – Learning Outcome #5 5. Information Ownership – Learning Outcome #6 3-9
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RELATIONAL DATABASE MODEL Database Relational database 3-10
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Database Characteristics 3-11
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Database – Collection of Information 3-12
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Database – Created with Logical Structures Data dictionary 3-13
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Database – Logical Ties within the Information Primary key Foreign key Customer Number is the primary key for Customer and appears in Order as a foreign key 3-14
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Database – Logical Ties within the Information 3-15
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Databases – Built-In Integrity Constraints Integrity constraints Data dictionary Foreign keys 3-16
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DATABASE MANAGEMENT SYSTEM TOOLS Database management system (DBMS) 3-17
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5 Components of a DBMS 3-18
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DBMS Engine DBMS engine Physical view Logical view 3-19
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Data Definition Subsystem Data definition subsystem 3-20
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Data Manipulation Subsystem Data manipulation subsystem 3-21
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View View Binoculars 3-22
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Report Generator Report generator – 3-23
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Query-by-Example Tool QBE tool 3-24
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Structured Query Language SQL 3-25
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Application Generation Subsystem Application generation subsystem 3-26
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Data Administration Subsystem Data administration subsystem 3-27
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Data Administration Subsystem Backup and recovery 3-28
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Data Administration Subsystem Security management Query optimization Reorganization 3-29
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Data Administration Subsystem Concurrency control Change management 3-30
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DATA WAREHOUSES AND DATA MINING Help you build and work with business intelligence and some forms of knowledge Data warehouse 3-31
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Data Warehouse Characteristics Multidimensional Support decision making, not transaction processing 3-32
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Data-Mining Tools Data-mining tools 3-33
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Data-Mining Tools Query-and-reporting tools Multidimensional analysis (MDA tools) 3-34
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Data Marts Data mart 3-35
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Data Warehouse Considerations 3-36
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BUSINESS INTELLIGENCE REVISITED Business intelligence (BI) 3-37
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BI Objectives 3-38
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Building Business Intelligence 3-39
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Viewing Business Intelligence Digital dashboard 3-40
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INFORMATION OWNERSHIP 3-41
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Strategic Management Support Covered many c-level positions in Chapter 2 for IT 2 others in information management Data administration Database administration 3-42
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Sharing Information 3-43
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Information Cleanliness 3-44
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