1. Chapter 3 Databases and Data Warehouses Building Business Intelligence
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2. Presentation Overview
Business Intelligence
The Relational Database Model
Database Management System Tools
Data Warehouses and Data Mining
Managing The Information Resource In An Organization
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3. Opening Case Study High Tech Battles High School Truancy
Organizations need databases (and data warehouses) for organizing and managing information.
Why are the implementation of security and privacy measures difficult?
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4. Management Information Systems for the Information Age
Introduction
Databases and data warehouses are methods for organizing and managing information and business intelligence.
Database management systems and data mining tools are IT tools you use to work with information and business intelligence.
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5. Business Intelligence
Business intelligence - is knowledge about your:
Customers
Competitors
Partners
Competitive environment
Internal operations
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6. Business Intelligence
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7. Business Intelligence
Two types of information processing include:
Online transaction processing (OLTP) - the gathering of input information, processing that information, and updating existing information to reflect the gathered and processed information.
Operational databases - databases that support OLTP.
Online analytical processing (OLAP) - the manipulation of information to support decision making.
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8. Business Intelligence
A data warehouse is a special form of a database that contains information gathered from many operational databases for the purpose of supporting decision-making tasks.
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9. The Relational Database Model
Database - a collection of information that you organize and access according to the logical structure of that information.
Relational database model - uses a series of logically related two-dimensional tables or files to store information in the form of a database.
Relation - describes each two-dimensional table or file in the relational model.
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10. The Relational Database Model
Relational databases are composed of two parts:
Information – stored in a series of two-dimensional tables, files, or relations.
Logical structure of the information.
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11. The Relational Database Model Collections of Information
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12. The Relational Database Model Created with Logical Structures
When you create a database, you first create the data dictionary.
Data dictionary - contains the logical structure for the information.
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13. The Relational Database Model Created with Logical Structures
Part Number is the primary key because of the key icon beside it.
For Percentage Markup, we defined its Format as “Percent” and its number of decimal places as 2.
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14. The Relational Database Model With Logical Ties Among the Information
Primary key - a field (or group of fields in some cases) that uniquely describes each record.
Foreign key - a primary key of one file that appears in another file.
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15. The Relational Database Model With Logical Ties Among the Information
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16. The Relational Database Model With Built-In Integrity Constraints
Team Work
Primary Keys,
Foreign Keys, and
Integrity Constraints
(p. 133)
Integrity constraints – rules that help ensure the quality of the information.
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17. Database Management System Tools
Database management system (DBMS) – helps you specify the logical organization for a database and access and use the information within a database.
A DBMS contains the following five important software components:
DBMS engine
Data definition subsystem
Data manipulation subsystem
Application generation subsystem
Data administration subsystem
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18. Database Management System Tools
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19. Database Management System Tools
DBMS engine - accepts logical requests from the various other DBMS subsystems, converts them into their physical equivalent, and actually accesses the database and data dictionary as they exist on a storage device.
Physical view - deals with how information is physically arranged, stored, and accessed on some type of storage device such as a hard disk.
Logical view - focuses on how you arrange and access information to meet your particular business needs.
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20. DBMS Tools Data Definition Subsystem
Data definition subsystem - helps you create and maintain the data dictionary and define the structure of the files in a database.
(For a great overview on the logical properties of information review the table on page 136)
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21. DBMS Tools Data Manipulation Subsystem
Data manipulation subsystem - helps you add, change, and delete information in a database and mine it for valuable information. Tools here include views, report generators, QBE, and SQL.
View - allows you to see the contents of a database file, make whatever changes you want, perform simple sorting, and query to find the location of specific information.
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22. DBMS Tools Data Manipulation Subsystem
Find information using the binoculars.
Click here to enter a new record.
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23. DBMS Tools Data Manipulation Subsystem
Report generator - helps you quickly define formats of reports and what information you want to see in a report.
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24. DBMS Tools Data Manipulation Subsystem
By following a series of simple screens, you can easily create the report below.
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25. DBMS Tools Data Manipulation Subsystem
Query-by-example (QBE) tools - help you graphically design the answer to a question.
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26. DBMS Tools Data Manipulation Subsystem
The QBE grid
Our selection criteria
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27. DBMS Tools Data Manipulation Subsystem
Structured query language (SQL) - a standardized fourth-generation query language found in most DBMSs.
The SQL below creates the same report in Figure 3.7 on page 139.
SELECT Part.[Part Number], Part.Cost, Employee.[Employee
Name], Employee.[Employee Number]
FROM Part, Employee
WHERE (((Part.Cost)>10));
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28. DBMS Tools Application Generation Subsystem
Application generation subsystem - contains facilities to help you develop transaction-intensive applications.
Data entry screens
DBMS-specific programming languages
Commonly used programming languages
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29. DBMS Tools Data Administration Subsystem
Data administration subsystem - a DBMS helps you manage the overall database environment by providing facilities for backup and recovery, security management, query optimization, concurrency control, and change management.
On Your Own
DBMS Support
OLTP, OLAP, and
Information Management
(p. 142)
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30. DBMS Tools Data Administration Subsystem
Backup and recovery facilities:
Periodically back up information contained in a database.
Restart or recover a database and its information in case of a failure.
Security management facilities - control who has access to what information and what type of access those people have.
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31. DBMS Tools Data Administration Subsystem
Query optimization facilities - take queries from users and restructure them to minimize response times.
Reorganization facilities - continually maintain statistics concerning how the DBMS engine physically accesses information.
Concurrency control facilities - ensure the validity of database updates when multiple users attempt to access and change the same information.
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32. Data Warehouses and Data Mining What Is a Data Warehouse?
Data warehouse - a logical collection of information – gathered from many different operational databases – used to create business intelligence that supports business analysis activities and decision-making tasks.
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33. Data Warehouses and Data Mining What Is a Data Warehouse?
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34. Data Warehouses and Data Mining What Is a Data Warehouse?
Data warehouses are not transaction-oriented.
Data warehouses support online analytical processing (OLAP).
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35. Data Warehouses and Data Mining What Are Data Mining Tools?
Data mining tools - software tools you use to query information in a data warehouse. These tools include:
Query-and-reporting tools - similar to QBE tools, SQL, and report generators in the typical database environment.
Intelligent agents – use various artificial intelligence tools to form the basis of information discovery and building business intelligence in OLAP.
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36. Data Warehouses and Data Mining What Are Data Mining Tools?
Data mining tools continued
Multidimensional analysis (MDA) tools - slice-and-dice techniques that allow you to view multidimensional information from different perspectives.
Statistical tools – help you apply various mathematical models to the information stored in a data warehouse to discover new information.
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37. Data Warehouses and Data Mining What Are Data Mining Tools?
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38. Data Warehouses and Data Mining Data Marts – Smaller Data Warehouses
Data mart - a subset of a data warehouse in which only a focused portion of the data warehouse information is kept.
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39. Data Warehouses and Data Mining Important Considerations
Do you need a data warehouse?
Do all your employees need an entire data warehouse?
How up-to-date must the information be?
What data mining tools do you need?
Team Work
How Up-to-Date Should Data Warehouse Information Be?
(p. 149)
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40. Management Information Systems for the Information Age
MANAGING THE INFORMATION RESOURCE Who Should Oversee the Organization’s Information?
Chief information officer (CIO) - responsible for overseeing an organization’s information resource.
Data administration - plans for, oversees the development of, and monitors the information resource.
Database administration - responsible for the more technical and operational aspects of managing the information contained in organizational databases.
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41. Management Information Systems for the Information Age
MANAGING THE INFORMATION RESOURCE How Will Changes in Technology Affect Organizing and Managing Information?
As new technologies become available, you should ask yourself whether those technologies will help you organize and manage your information better.
One of the greatest technological changes that will occur over the coming years is a convergence of different tools that will help you better organize and manage information.
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42. Management Information Systems for the Information Age
MANAGING THE INFORMATION RESOURCE Is Information Ownership a Consideration?
Information ownership is a key consideration in today’s information-based business environment.
Ownership refers to who is responsible for information quality.
On Your Own
CRUD – Defining
Information Ownership
(p. 151)
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43. Management Information Systems for the Information Age
MANAGING THE INFORMATION RESOURCE What Are the Ethics Involved in Managing and Organizing Information?
Databases, data warehouses, DBMSs, and data mining tools make it possible for people to easily access all kinds of organizational information.
How does an organization safeguard against the unethical use of information within the organization?
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44. Closing Case Study One We’ve Got OLTP Covered; Let’s Go on to OLAP
What is the single most important factor that hinders all organizations in general from providing good online analytical processing (OLAP) support?
Why is it so much easier for organizations to provide good online transaction processing (OLTP) support?
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45. Closing Case Study Two Mining Dining Data
Consider the issue of timely information with respect to the businesses discussed in the case.
Which of the businesses must have the most up-to-date information in its data warehouse?
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46. Summary Student Learning Outcomes
Describe business intelligence and its role in an organization.
Differentiate between databases and data warehouses with respect to their focus on online transaction processing and online analytical processing.
List and describe the key characteristics of a relational database.
Define the five software components of a database management system.
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47. Summary Student Learning Outcomes
List and describe the key characteristics of a data warehouse.
Define the four major types of data mining tools in a data warehouse environment.
List key considerations in managing the information resource in an organization.
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48. Summary Assignments & Exercises
Finding “hacked” databases
Defining queries for a video rental store
Creating a query
Career opportunities in your major
Salaries for database administrators
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49. Visit the Web to Learn More www.mhhe.com/haag
Financial aid resources
Libraries
Consumer information
Demographics
Real estate
Data warehouses and data mining tools
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