Database Management Managerial Overview. Managing Data Resources Data are a vital organizational resource that need to be managed like other important.

Slides:



Advertisements
Similar presentations
1 Introduction to Data Management. Understand: meaning of data management history of managing data challenges in managing data approaches to managing.
Advertisements

Database Management3-1 L3 Database Management Santa R. Susarapu Ph.D. Student Virginia Commonwealth University.
Lecture-7/ T. Nouf Almujally
Introduction to Databases
Chapter 5 Database Concepts. Why Study Databases? Databases have incredible value to business. Probably the most important technology for supporting operations.
MIS DATABASE SYSTEMS, DATA WAREHOUSES, AND DATA MARTS MBNA
Logical Data Elements Employee Record 2 Employee Record 1 Employee Record 3 Employee Record 4 NameSSSalaryNameSSSalaryNameSSSalaryNameSSSalary Data Personnel.
Overview of Databases and Transaction Processing Chapter 1.
Chapter 3 Database Management
Distributed DBMSs A distributed database is a single logical database that is physically distributed to computers on a network. Homogeneous DDBMS has the.
Database Management: Getting Data Together Chapter 14.
Chapter 5 Database Concepts.
McGraw-Hill/Irwin Copyright © 2008, The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin Copyright © 2008 The McGraw-Hill Companies, Inc.
Mgt 20600: IT Management & Applications Databases
Chapter 4: Database Management. Databases Before the Use of Computers Data kept in books, ledgers, card files, folders, and file cabinets Long response.
Introduction to Database Management
BUSINESS DRIVEN TECHNOLOGY
Lead Black Slide. © 2001 Business & Information Systems 2/e2 Chapter 7 Information System Data Management.
McGraw-Hill/Irwin Copyright © 2008, The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin Copyright © 2008 The McGraw-Hill Companies, Inc.
Lecture-8/ T. Nouf Almujally
McGraw-Hill/Irwin Copyright © 2008, The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin Copyright © 2008 The McGraw-Hill Companies, Inc.
PHASE 3: SYSTEMS DESIGN Chapter 7 Data Design.
Eleventh Edition 1 Introduction to Information Systems Essentials for the Internetworked E-Business Enterprise Irwin/McGraw-Hill Copyright © 2002, The.
IT – DBMS Concepts Relational Database Theory.
MIS DATABASE SYSTEMS, DATA WAREHOUSES, AND DATA MARTS MBNA ebay
5.1 © 2007 by Prentice Hall 5 Chapter Foundations of Business Intelligence: Databases and Information Management.
Fifth Edition 1 M a n a g e m e n t I n f o r m a t i o n S y s t e m s M a n a g I n g I n f o r m a t i o n T e c h n o l o g y i n t h e E – B u s i.
Managing Data Resources
6-1 DATABASE FUNDAMENTALS Information is everywhere in an organization Information is stored in databases –Database – maintains information about various.
7/17: Database Management
The database approach to data management provides significant advantages over the traditional file-based approach Principles of Information Systems, Seventh.
STORING ORGANIZATIONAL INFORMATION— DATABASES CIS 429—Chapter 7.
311: Management Information Systems Database Systems Chapter 3.
Data Resource Management Chapter 5 Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
Case 2: Emerson and Sanofi Data stewards seek data conformity
Database A database is a collection of data organized to meet users’ needs. In this section: Database Structure Database Tools Industrial Databases Concepts.
Lead Black Slide Powered by DeSiaMore1. 2 Chapter 7 Information System Data Management.
1 McGraw-Hill/Irwin Copyright © 2004, The McGraw-Hill Companies, Inc. All rights reserved. Chapter 3 Data Resource Management.
1.file. 2.database. 3.entity. 4.record. 5.attribute. When working with a database, a group of related fields comprises a(n)…
Storing Organizational Information - Databases
McGraw-Hill/Irwin ©2008,The McGraw-Hill Companies, All Rights Reserved Chapter 5 Data Resource Management.
5-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
5-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
Data Resource Management
Introduction to Information Systems Lecture 05 Data Resource Management Data Concepts Database Management Types of Databases.
5 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
4 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. Computer Software Chapter 4.
6.1 © 2010 by Prentice Hall 6 Chapter Foundations of Business Intelligence: Databases and Information Management.
DATABASE MANAGEMENT SYSTEMS CMAM301. Introduction to database management systems  What is Database?  What is Database Systems?  Types of Database.
MANAGING DATA RESOURCES ~ pertemuan 7 ~ Oleh: Ir. Abdul Hayat, MTI.
Chapter 3 Databases and Data Warehouses: Building Business Intelligence Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
Irwin/McGraw-Hill Copyright © 2001, The McGraw-Hill Companies, Inc. All rights reserved. I n t r o d u c t i o n t o I n f o r m a t i o n S y s t e m.
DATA RESOURCE MANAGEMENT
Chapter 6.  Problems of managing Data Resources in a Traditional File Environment  Effective IS provides user with Accurate, timely and relevant information.
3/6: Data Management, pt. 2 Refresh your memory Relational Data Model
© 2003 Prentice Hall, Inc.3-1 Chapter 3 Database Management Information Systems Today Leonard Jessup and Joseph Valacich.
Data Resource Management Data Concepts Database Management Types of Databases Chapter 5 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies,
Data Resource Management Lecturer: Dr Mohammad Nabil Almunawar.
Data Resource Management Chapter 5 McGraw-Hill/IrwinCopyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved.
INTRODUCTION TO INFORMATION SYSTEMS LECTURE 9: DATABASE FEATURES, FUNCTIONS AND ARCHITECTURES PART (2) أ/ غدير عاشور 1.
McGraw-Hill/Irwin ©2008,The McGraw-Hill Companies, All Rights Reserved Chapter 5 Data Resource Management.
Data Resource Management Data Concepts Database Management Types of Databases Chapter 5 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies,
Managing Data Resources File Organization and databases for business information systems.
Data Resource Management
Chapter 3 Data Resource Management.
McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved.
MANAGING DATA RESOURCES
Data Resource Management
ບົດທີ 6 ການຄຸ້ມຄອງຊັບພະຍາກອນຂໍ້ມູນ (Managing Data Resource)
DATABASE TECHNOLOGIES
Presentation transcript:

Database Management Managerial Overview

Managing Data Resources Data are a vital organizational resource that need to be managed like other important business assets. Most organizations could not survive or succeed without quality data about their internal operations and external environment.

Foundation Data Concepts Data may be logically organized in IS just as writing can be organized CharacterLetter FieldWord RecordSentence FileParagraph DatabaseDocument

Personnel Database Example Employee Personal Data File FieldsNameSS No.Domicile Employee Record 1 Jones T. A Livingstone Employee Record 2 Alvarez J. S Deadpoint Payroll File FieldsSS No.Salary Employee Record Employee Record

The Database Management Approach consolidates data records and objects into databases that can be accessed by many different application programs a special software package called a database management system (DBMS) serves as a software interface between users and databases

The Database Management Approach involves three basic activities: updating and maintaining common databases to reflect new business transactions and other events providing information needed for each end user‘s application by using application programs that share the data in common databases providing an inquiry/response and reporting capability through a DBMS package so that end users can easily interrogate databases, generate reports, and receive quick responsesto their ad hoc requests for information

The Database Management Approach Inquiry Customer Transaction Processing Checking Account Program Savings Account Program Installment Loan Program Database Management System Customer Database

Major Uses of DBMS Database Development –Database Administrator –Data Dictionary Database Interrogation –Query Language (SQL, QBE) –Graphical and Natural Queries –Report Generator Database Management Application Development

Types of Databases Operational Databases –transaction databases, production databases Analytical Databases –management databases, information databases (accessed by OLAP, DSS, EIS) Data Warehouses –data marts, data mining Distributed Databases End User Databases External Databases

Hypermedia Databases on the Web Web Browser Client PCs or NCs The Internet Intranets Extranets Network ServerHypermedia Database Web server software HTML pages GIF image files Video files

Benefits of Database Management DM reduces the duplication of data DM integrates data so that they can be accessed by multiple programs and users Application programs are not dependent on the format of the data and the type of secondary storage being used Inquiry/response and reporting capability allows users to easily obtain information they need Computer programming is simplified Integrity and security of the data can be increased since access to data and modification of the database are controlled by DBMS, a data dictionary, and a database administrator function

Limitations of Database Management Limitations arise from the increased technological complexity of DM Developing large databases of complex data types and installing a DBMS can be difficult and expensive Storage requirements for the organization‘s data overhead control data, and the DBMS programs are increased Longer processing times may result from high-volume transaction processing applications since an extra layer of SW (DBMS) exists between application programs and the operating system Vulnerability to errors, fraud, and failures is increased in centralized databases Problems of inconsistency of data can easily arise in distributed databases