CISB113 Fundamentals of Information Systems Data Management.

Slides:



Advertisements
Similar presentations
C6 Databases.
Advertisements

Database Management3-1 L3 Database Management Santa R. Susarapu Ph.D. Student Virginia Commonwealth University.
5.1 © 2007 by Prentice Hall 5 Chapter Foundations of Business Intelligence: Databases and Information Management.
By: Mr Hashem Alaidaros MIS 211 Lecture 4 Title: Data Base Management System.
Management Information Systems, Sixth Edition
Managing Data Resources
Chapter 3 Database Management
Database Management An Introduction.
Organizing Data & Information
McGraw-Hill/Irwin Copyright © 2008, The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin Copyright © 2008 The McGraw-Hill Companies, Inc.
Business Intelligence Andrew Davis Andria Zippler Jana Krinsky Tiffany Ferris.
Mgt 20600: IT Management & Applications Databases
1004INT Information Systems Week 10 Databases as Business Tools.
Data Resource Management Data Concepts Database Management Types of Databases Chapter 5 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies,
SESSION 7 MANAGING DATA DATARESOURCES. File Organization Terms and Concepts Field: Group of words or a complete number Record: Group of related fields.
Mgt 20600: IT Management & Applications Databases Tuesday April 4, 2006.
Lecture-8/ T. Nouf Almujally
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 5 Data Resource Management.
CIS 2200 Kannan Mohan Department of CIS Zicklin School of Business, Baruch College.
ACS1803 Lecture Outline 2 DATA MANAGEMENT CONCEPTS Text, Ch. 3 How do we store data (numeric and character records) in a computer so that we can optimize.
5.1 © 2007 by Prentice Hall 5 Chapter Foundations of Business Intelligence: Databases and Information Management.
Intro to MIS – MGS351 Databases and Data Warehouses Chapter 3.
Chapter 5 Lecture 2. Principles of Information Systems2 Objectives Understand Data definition language (DDL) and data dictionary Learn about popular DBMSs.
1 DATABASE TECHNOLOGIES BUS Abdou Illia, Fall 2012 (September 5, 2012)
Systems analysis and design, 6th edition Dennis, wixom, and roth
The McGraw-Hill Companies, Inc Information Technology & Management Thompson Cats-Baril Chapter 3 Content Management.
1 INTRODUCTION TO DATABASE MANAGEMENT SYSTEM L E C T U R E
Chapter 6: Foundations of Business Intelligence - Databases and Information Management Dr. Andrew P. Ciganek, Ph.D.
Management Information Systems By Effy Oz & Andy Jones
2005 SPRING CSMUIntroduction to Information Management1 Organizing Data John Sum Institute of Technology Management National Chung Hsing University.
Organizing Data and Information AD660 – Databases, Security, and Web Technologies Marcus Goncalves Spring 2013.
CHAPTER 8: MANAGING DATA RESOURCES. File Organization Terms Field: group of characters that represent something Record: group of related fields File:
Case 2: Emerson and Sanofi Data stewards seek data conformity
Databases Topic 4 Text Materials Chapter 3 – Databases and Data Warehouses.
Database Design Part of the design process is deciding how data will be stored in the system –Conventional files (sequential, indexed,..) –Databases (database.
Lecturer: Gareth Jones. How does a relational database organise data? What are the principles of a database management system? What are the principal.
Instructor: Dema Alorini Database Fundamentals IS 422 Section: 7|1.
C6 Databases. 2 Traditional file environment Data Redundancy and Inconsistency: –Data redundancy: The presence of duplicate data in multiple data files.
5-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 5 Data Resource Management.
Chapter 5 Data Resource Management. 2 I. Why do organizations store data?  Data resources must be structured and organized in some logical manner so.
5 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
Chapter 4 Data and Databases. Learning Objectives Upon successful completion of this chapter, you will be able to: Describe the differences between data,
Chapter 1 1 Lecture # 1 & 2 Chapter # 1 Databases and Database Users Muhammad Emran Database Systems.
6.1 © 2010 by Prentice Hall 6 Chapter Foundations of Business Intelligence: Databases and Information Management.
MANAGING DATA RESOURCES ~ pertemuan 7 ~ Oleh: Ir. Abdul Hayat, MTI.
13 1 Chapter 13 The Data Warehouse Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel.
Management Information Systems, 4 th Edition 1 Chapter 8 Data and Knowledge Management.
5-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
DATA RESOURCE MANAGEMENT
Foundations of Business Intelligence: Databases and Information Management.
© 2003 Prentice Hall, Inc.3-1 Chapter 3 Database Management Information Systems Today Leonard Jessup and Joseph Valacich.
Fundamentals of Information Systems, Sixth Edition Chapter 3 Database Systems, Data Centers, and Business Intelligence.
Foundations of information systems : BIS 1202 Lecture 4: Database Systems and Business Intelligence.
McGraw-Hill/Irwin ©2008,The McGraw-Hill Companies, All Rights Reserved Chapter 5 Data Resource Management.
Managing Data Resources File Organization and databases for business information systems.
Management Information Systems by Prof. Park Kyung-Hye Chapter 7 (8th Week) Databases and Data Warehouses 07.
Pengantar Sistem Informasi
Intro to MIS – MGS351 Databases and Data Warehouses
Fundamentals of Information Systems, Sixth Edition
Fundamentals & Ethics of Information Systems IS 201
Data Resource Management
ACS1803 Lecture Outline 2   DATA MANAGEMENT CONCEPTS Text, Ch. 3
Databases and Data Warehouses Chapter 3
MANAGING DATA RESOURCES
Database.
Chapter 5 Data Resource Management.
Databases and Structured Files: What is a database?
DATABASE TECHNOLOGIES
Chapter 3 Database Management
Presentation transcript:

CISB113 Fundamentals of Information Systems Data Management

Learning Outcomes At the end of this lesson, you should be able to: Describe database and how it is used to retrieve information for decision making. Describe common terms in the studies of database

Looking at data, information and knowledge (again..) DataInformationKnowledge A “given” fact; a number, a statement, or a picture Represents something in the real world The raw materials in the production of information On its own is not meaningful. e.g. Lim C Instructor Data that was converted into meaningful and useful context for end users e.g. students results An understanding or a familiarity develop from looking/studying the information, can lead to decision making e.g. It seems that Dr Davidson is probably doing a better teaching job compared to Dr Jacobs

Database IT applications/IS cannot be done without using some kind of data Businesses run on data that have been processed to information and knowledge Data is stored in database Data stored in database will be used to generate information to support day to day business process and/or business decision making

Database – the common terms A Database: – A collection of interrelated data Database Management System (DBMS) is: – A software system designed to store, manage, and facilitate access to databases. E.g. Oracle, DB2, SQL Server

By using this database, you can examine the Sales table to find that 5 bolts have been purchased. Then you can check the Order table to find out that the purchase is done by Customer Id AAA002. Then you can check the Customer table to find out that Customer Id AAA002 is actually Samantha Jones Database – The basic idea

Database Elements File or table – A group of related records – Database stores data in table Table : User

Database Elements Field or data item – Represents an attribute (characteristic) of entities (object, person, place, event) – The column in a table – Data Record – Grouping of all the fields used to describe the attributes of an entity – The row in a table – Information

Database Elements Data Type - A data type defines what kind of value a column/field can contain. Done through DBMS. It is a classifying to determine the types of data. E.g. alphanumeric, numbers, currency, dates

Types of Database

Operational Database : A database that stores data/information collected from the day to day business operation. Data Warehouse : A collection of integrated databases designed to support DSS functions, where each unit of data is non-volatile. It is maintained separately from the organization’s operational database Data mart : Smaller data warehouse focuses on a particular subject or department. It is a subset of data warehouse/departmental data warehouse. Types of Database

Business Intelligence Business Intelligence Process

A process that uses sophisticated, advanced data manipulation technology to extract and identify useful information and subsequent knowledge from large database A major step in managerial decision making today is forecasting or estimating the results of different alternative courses of actions Data in data warehouses are analyzed to reveal hidden patterns and trends – Market-basket analysis to identify new product bundles – Market-basket analysis over time to identify product bundles in a long run – Target marketing to identify group of potential clients by analyzing pattern and predicting future behavior Data Mining

Entity Relationship Diagram A graphical representation of entities and their relationships to each other, typically used in computing in regard to the organization of data within databases or information. To be used in the design of a database for information systems. systems

Learning Outcomes At the end of this lesson, you should be able to: Describe database and how it is used to retrieve information for decision making. Describe common terms in the studies of database

Describe database Identify the common data elements in a database Explain data warehouse Explain data mart Explain business intelligence Explain data mining Explain ERD Exercise

Questions?