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Introduction to Databases Chapter 1: Introducing Data and Data Management.

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Presentation on theme: "Introduction to Databases Chapter 1: Introducing Data and Data Management."— Presentation transcript:

1 Introduction to Databases Chapter 1: Introducing Data and Data Management

2 Data Stream of raw, unorganized facts Single piece of data is single fact: – Refrigerator SSN 958304 manufactured 11/05/2006 Information: Data organized into form people can understand or use

3 Databases Ordered collections of related data elements Designed to meet organization’s information needs Designed to be shared by multiple users Help transform data into information – For example, used to transform store cash register transactions into sales reports

4 Example: Airline Ticketing & Reservations Company

5

6 Data Management Uses databases and database management software (DBMS) Allows organizations to: –Easily access data –Handle greater quantities of data –Share data –Reduce data redundancy (unwanted duplicate data)

7 Data Sources To understand what data is meaningful, examine company’s core business and processes Processes: Series of tasks that accomplish specific goal Primary processes help fulfill core business To carry out process, company needs resources and assets, such as: – Buildings and equipment – People – Money – Information from relevant data sources

8 Example: Car Rentals Core business – Rent cars Primary processes –Processes to manage fleet and service cars

9 Example: Car Rentals: Departmental Activities

10 Specific Data Sources Specific data important to company can be found in: – Current information held in business documents – Historic information – Human sources: Employees at different levels can provide different types of information about data

11 Human Data Sources

12 Data Flows Part of data collection process includes understanding how data flows through organization Data: Similar to water, flowing from source to destination However, unlike river, data may have many destinations, or data consumers

13 Data Concerns Data accuracy Data security Data organization Data access

14 Data Accuracy Involves ensuring accurate and correct data Inaccurate data: –Employee mistakes, shortcuts, and biases –Outdated –Poorly designed formulas or algorithms Maintaining data accuracy includes: –Verifying data sources –Managing data entry and manipulation

15 Data Security Processes and procedures implemented with goal of keeping data safe Basic data security categories include: –Access security –Physical security

16 Access Security Involves controlling user and application access to data, usually through one or more authentication methods To reduce data source’s vulnerability: –Reduce surface area (how exposed database is to access and manipulation by consumer audience ) As potential consumer audience increases, so do potential security concerns

17 Access Security

18 Physical Security Involves protecting data against physical corruption or loss Three basic tasks : –Protecting server Secure server in locked room with limited access –Ensuring storage media Use fault-tolerant disk system –Duplicating data Maintain duplicate of data on mirror image, or make data backups

19 Data Organization Forces structure on data Helps reduce amount of physical space data requires Helps minimize time required to locate and retrieve data Data standards: Help ensure that right amount of data is entered in same way for every data object

20 Data Access Data queries retrieve data, insert new data, or manipulate existing data Before database setup, determine: –Who needs access to data User roles or responsibilities –What level of access is needed Full or limited access –Type of access needed Directly or indirect through separate application

21 Summary Data are raw facts that organizations collect and transform into meaningful information Data and information are primary business resource Data management through databases help support business’s primary processes and core business Data management concerns include data accuracy, data security, data organization, and data access

22 Key Terms Access security Authentication method Consumer audience Core business Data Data access Data accuracy Data consumer Data query Data security Database Fault-tolerant disk system Information Mirror image Physical security Surface area

23 Copyright Notice Copyright 2008 John Wiley & Sons, Inc. All rights reserved. Reproduction or translation of this work beyond that permitted in section 117 of the 1976 United States Copyright Act without express permission of the copyright owner is unlawful. Requests for further information should be addressed to the Permissions Department, John Wiley & Sons, Inc. The purchaser may make back-up copies for his/her own use only and not for distribution or resale. The Publisher assumes no responsibility for errors, omissions, or damages caused by the use of these programs or from the use of the information herein.


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