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Unformatted text preview: 5/19/11 1:23 AM Print Chapter Page 1 of 58,directories=0,location=0,status=0,scrollbars=1,resizable=0 Database Systems and Business Intelligence Chapter Introduction 5-1 Data Management 5-1a The Hierarchy of Data 5-1b Data Entities, Attributes, and Keys 5-2 Data Modeling and Database Characteristics 5-2a Data Modeling 5-2b The Relational Database Model 5-3 Database Management Systems 5-3a Overview of Database Types 5-3b Providing a User View 5-3c Creating and Modifying the Database 5-3d Storing and Retrieving Data 5-3e Manipulating Data and Generating Reports 5-3f Database Administration 5-3g Popular Database Management Systems 5-3h Special-Purpose Database Systems 5-3i Selecting a Database Management System 5-3j Using Databases with Other Software 5-4 Database Applications 5-4a Linking the Company Database to the Internet 5-4b Data Warehouses, Data Marts, and Data Mining 5-4c Business Intelligence 5-4d Distributed Databases 5-4e Online Analytical Processing (OLAP) 5-4f Object-Relational Database Management Systems 5-4g Visual, Audio, and Other Database Systems Chapter Recap 5/19/11 1:23 AM Print Chapter Page 2 of 58,directories=0,location=0,status=0,scrollbars=1,resizable=0 Chapter Introduction PRINCIPLES LEARNING OBJECTIVES Information Systems in the Global Economy: Wal-Mart, United States Warehousing and Mining Data on a Grand Scale Data management and modeling are key aspects of organizing data and information. Define general data management concepts and terms, highlighting the advantages of the database approach to data management. Describe the relational database model and outline its basic features. A well-designed and well- managed database is an extremely valuable tool in supporting decision making. Identify the common functions performed by all database management systems, and identify popular database management systems. The number and types of database applications will continue to evolve and yield real business benefits. Identify and briefly discuss current database applications. One company that really needs to know how to manage data is Wal-Mart. With a total of over 800 million transactions per day in over 7,000 stores around the world, Wal-Mart produces more data in a day than many businesses produce in a lifetime. No matter what size the business, databases and the systems that manage them provide the foundation on which business decisions are made. Wal-Mart is successful due to its ability to learn from the data it collects. In a nutshell, Wal-Mart owes its success to its databases and business intelligence toolssoftware tools that manipulate data to provide useful information to Wal-Mart decision makers....
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This note was uploaded on 09/29/2011 for the course ISYS 263 taught by Professor B.homan during the Spring '09 term at S.F. State.

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