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Database Systems: Design, Implementation, & Management 11th edition [Kõva köide]

(Uuem väljaanne: 9781305627482)
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  • Formaat: Hardback, 752 pages, kõrgus x laius x paksus: 285x223x34 mm, kaal: 1820 g, illustrations
  • Ilmumisaeg: 04-Feb-2014
  • Kirjastus: Course Technology Inc
  • ISBN-10: 1285196147
  • ISBN-13: 9781285196145 (Uuem väljaanne: 9781305627482)
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Database Systems: Design, Implementation, & Management 11th editionSuurem pilt
  • Formaat: Hardback, 752 pages, kõrgus x laius x paksus: 285x223x34 mm, kaal: 1820 g, illustrations
  • Ilmumisaeg: 04-Feb-2014
  • Kirjastus: Course Technology Inc
  • ISBN-10: 1285196147
  • ISBN-13: 9781285196145 (Uuem väljaanne: 9781305627482)
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781285196145.html
Märksõnad:
Practical and easy to understand, DATABASE SYSTEMS: DESIGN, IMPLEMENTATION, AND MANAGEMENT, Eleventh Edition, gives students a solid foundation in database design and implementation. Filled with visual aids such as diagrams, illustrations, and tables, this market-leading text provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment. Renowned for its clear, straightforward writing style, this text provides students with an outstanding balance of theory and practice. The eleventh edition has been updated to include expanded relational algebra coverage, updated business vignettes showing the impact of database tech in the real world, updated coverage of cloud data services, expanded coverage of Big Data and related Hadoop technologies, SQL coverage expanded to include MySQL databases, and many other improvements! In addition, new review questions, problem sets, and cases have been added throughout the book so that students have multiple opportunities to test their understanding and develop real and useful design skills.

Arvustused

Part I: DATABASE CONCEPTS. 1. Database Systems. 2. Data Models. Part II: DESIGN CONCEPTS. 3. The Relational Database Model. 4. Entity Relationship (ER) Modeling. 5. Advanced Data Modeling. 6. Normalization of Database Tables. Part III: ADVANCED DESIGN AND IMPLEMENTATION. 7. Introduction to Structured Query Language (SQL). 8. Advanced SQL. 9. Database Design. Part IV: ADVANCED DATABASE CONCEPTS. 10. Transaction Management and Concurrency Control. 11. Database Performance Tuning and Query Optimization. 12. Distributed Database Management Systems. 13. Business Intelligence and Data Warehouses. Part V: DATABASES AND THE INTERNET. 14. Database Connectivity and Web Technologies. Part VI: DATABASE ADMINISTRATION. 15. Database Administration and Security. ONLINE APPENDICES. Appendix A: Designing Databases with Visio Professional: A Tutorial. Appendix B: The University Lab: Conceptual Design. Appendix C: The University Lab: Conceptual Design Verification, Logical Design, and Implementation. Appendix D: Converting the ER Model into a Database Structure. Appendix E: Comparison of ER Model Notations. Appendix F: Client/Server Systems. Appendix G: Object-Oriented Databases. Appendix H: Unified Modeling Language (UML). Appendix I: Databases in Electronic Commerce. Appendix J: Web Database Development with ColdFusion. Appendix K: The Hierarchical Database Model. Appendix L: The Network Database Model. Appendix M: Microsoft Access Tutorial.

PART I DATABASE CONCEPTS
Business Vignette
3(1)
Chapter 1 Database Systems
4(30)
1.1 Why Databases?
5(1)
1.2 Data vs. Information
5(2)
1.3 Introducing the Database
7(4)
1.3.1 Role and Advantages of the DBMS
7(2)
1.3.2 Types of Databases
9(2)
1.4 Why Database Design is Important
11(3)
1.5 Evolution of File System Data Processing
14(4)
1.5.1 Manual File Systems
14(1)
1.5.2 Computerized File Systems
14(3)
1.5.3 File System Redux: Modern End-User Productivity Tools
17(1)
1.6 Problems with File System Data Processing
18(3)
1.6.1 Structural and Data Dependence
19(1)
1.6.2 Data Redundancy
19(2)
1.6.3 Lack of Design and Data-Modeling Skills
21(1)
1.7 Database Systems
21(7)
1.7.1 The Database System Environment
22(2)
1.7.2 DBMS Functions
24(3)
1.7.3 Managing the Database System: A Shift in Focus
27(1)
1.8 Preparing for Your Database Professional Career
28(6)
Summary
30(1)
Key Terms
30(1)
Review Questions
31(1)
Problems
32(2)
Chapter 2 Data Models
34(35)
2.1 Data Modeling and Data Models
35(1)
2.2 The Importance of Data Models
35(1)
2.3 Data Model Basic Building Blocks
36(1)
2.4 Business Rules
37(2)
2.4.1 Discovering Business Rules
38(1)
2.4.2 Translating Business Rules into Data Model Components
38(1)
2.4.3 Naming Conventions
39(1)
2.5 The Evolution of Data Models
39(17)
2.5.1 Hierarchical and Network Models
40(1)
2.5.2 The Relational Model
41(2)
2.5.3 The Entity Relationship Model
43(3)
2.5.4 The Object-Oriented (OO) Model
46(2)
2.5.5 Object/Relational and XML
48(1)
2.5.6 Emerging Data Models: Big Data and NoSQL
48(5)
2.5.7 Data Models: A Summary
53(3)
2.6 Degrees of Data Abstraction
56(13)
2.6.1 The External Model
57(2)
2.6.2 The Conceptual Model
59(1)
2.6.3 The Internal Model
59(1)
2.6.4 The Physical Model
60(2)
Summary
62(1)
Key Terms
62(1)
Review Questions
63(1)
Problems
64(5)
PART II DESIGN CONCEPTS
Business Vignette
69(1)
Chapter 3 The Relational Database Model
70(44)
3.1 A Logical View of Data
71(3)
3.1.1 Tables and Their Characteristics
71(3)
3.2 Keys
74(3)
3.2.1 Dependencies
74(1)
3.2.2 Types of Keys
75(2)
3.3 Integrity Rules
77(2)
3.4 Relational Algebra
79(9)
3.4.1 Formal Definitions and Terminology
79(1)
3.4.2 Relational Set Operators
80(8)
3.5 The Data Dictionary and the System Catalog
88(2)
3.6 Relationships within the Relational Database
90(8)
3.6.1 The I:M Relationship
90(2)
3.6.2 The I:I Relationship
92(2)
3.6.3 The M:N Relationship
94(4)
3.7 Data Redundancy Revisited
98(3)
3.8 Indexes
101(1)
3.9 Codd's Relational Database Rules
102(12)
Summary
104(1)
Key Terms
104(1)
Review Questions
105(3)
Problems
108(6)
Chapter 4 Entity Relationship (ER) Modeling
114(47)
4.1 The Entity Relationship Model (ERM)
115(22)
4.1.1 Entities
115(1)
4.1.2 Attributes
116(5)
4.1.3 Relationships
121(1)
4.1.4 Connectivity and Cardinality
122(1)
4.1.5 Existence Dependence
123(1)
4.1.6 Relationship Strength
123(3)
4.1.7 Weak Entities
126(2)
4.1.8 Relationship Participation
128(3)
4.1.9 Relationship Degree
131(2)
4.1.10 Recursive Relationships
133(2)
4.1.11 Associative (Composite) Entities
135(2)
4.2 Developing an ER Diagram
137(8)
4.3 Database Design Challenges: Conflicting Goals
145(16)
Summary
149(1)
Key Terms
149(1)
Review Questions
150(2)
Problems
152(3)
Cases
155(6)
Chapter 5 Advanced Data Modeling
161(29)
5.1 The Extended Entity Relationship Model
162(6)
5.1.1 Entity Supertypes and Subtypes
162(1)
5.1.2 Specialization Hierarchy
163(1)
5.1.3 Inheritance
164(1)
5.1.4 Subtype Discriminator
165(1)
5.1.5 Disjoint and Overlapping Constraints
165(2)
5.1.6 Completeness Constraint
167(1)
5.1.7 Specialization and Generalization
168(1)
5.2 Entity Clustering
168(2)
5.3 Entity Integrity: Selecting Primary Keys
170(4)
5.3.1 Natural Keys and Primary Keys
170(1)
5.3.2 Primary Key Guidelines
170(1)
5.3.3 When to Use Composite Primary Keys
171(1)
5.3.4 When to Use Surrogate Primary Keys
172(2)
5.4 Design Cases: Learning Flexible Database Design
174(16)
5.4.1 Design Case 1: Implementing I:I Relationships
174(1)
5.4.2 Design Case 2: Maintaining History of Time-Variant Data
175(3)
5.4.3 Design Case 3: Fan Traps
178(2)
5.4.4 Design Case 4: Redundant Relationships
180(1)
Summary
181(1)
Key Terms
181(1)
Review Questions
182(1)
Problems
183(1)
Cases
184(6)
Chapter 6 Normalization of Database Tables
190(45)
6.1 Database Tables and Normalization
191(1)
6.2 The Need for Normalization
191(4)
6.3 The Normalization Process
195(8)
6.3.1 Conversion to First Normal Form
196(4)
6.3.2 Conversion to Second Normal Form
200(1)
6.3.3 Conversion to Third Normal Form
201(2)
6.4 Improving the Design
203(4)
6.5 Surrogate Key Considerations
207(1)
6.6 Higher-Level Normal Forms
208(5)
6.6.1 The Boyce-Codd Normal Form
208(3)
6.6.2 Fourth Normal Form (4NF)
211(2)
6.7 Normalization and Database Design
213(4)
6.8 Denormalization
217(3)
6.9 Data-Modeling Checklist
220(15)
Summary
222(1)
Key Terms
222(1)
Review Questions
223(1)
Problems
224(11)
PART III ADVANCED DESIGN AND IMPLEMENTATION
Business Vignette
235(1)
Chapter 7 Introduction to Structured Query Language (SQL)
236(86)
7.1 Introduction to SQL
237(2)
7.2 Data Definition Commands
239(15)
7.2.1 The Database Model
239(2)
7.2.2 Creating the Database
241(1)
7.2.3 The Database Schema
241(1)
7.2.4 Data Types
242(3)
7.2.5 Creating Table Structures
245(4)
7.2.6 SQL Constraints
249(3)
7.2.7 SQL Indexes
252(2)
7.3 Data Manipulation Commands
254(6)
7.3.1 Adding Table Rows
254(1)
7.3.2 Saving Table Changes
255(1)
7.3.3 Listing Table Rows
256(1)
7.3.4 Updating Table Rows
257(1)
7.3.5 Restoring Table Contents
258(1)
7.3.6 Deleting Table Rows
258(1)
7.3.7 Inserting Table Rows with a Select Subquery
259(1)
7.4 Select Queries
260(11)
7.4.1 Selecting Rows with Conditional Restrictions
260(5)
7.4.2 Arithmetic Operators: The Rule of Precedence
265(1)
7.4.3 Logical Operators: AND, OR, and NOT
265(2)
7.4.4 Special Operators
267(4)
7.5 Additional Data Definition Commands
271(6)
7.5.1 Changing a Column's Data Type
271(1)
7.5.2 Changing a Column's Data Characteristics
272(1)
7.5.3 Adding a Column
272(1)
7.5.4 Dropping a Column
273(1)
7.5.5 Advanced Data Updates
273(2)
7.5.6 Copying Parts of Tables
275(1)
7.5.7 Adding Primary and Foreign Key Designations
276(1)
7.5.8 Deleting a Table from the Database
277(1)
7.6 Additional Select Query Keywords
277(10)
7.6.1 Ordering a Listing
277(2)
7.6.2 Listing Unique Values
279(1)
7.6.3 Aggregate Functions
279(5)
7.6.4 Grouping Data
284(3)
7.7 Joining Database Tables
287(35)
7.7.1 Joining Tables with an Alias
290(2)
7.7.2 Recursive Joins
292(1)
Summary
292(1)
Key Terms
293(1)
Review Questions
293(1)
Problems
294(17)
Cases
311(11)
Chapter 8 Advanced SQL
322(90)
8.1 SQL Join Operators
323(9)
8.1.1 Cross join
324(1)
8.1.2 Natural Join
325(2)
8.1.3 JOIN USING Clause
327(1)
8.1.4 JOIN ON Clause
328(1)
8.1.5 Outer Joins
329(3)
8.2 Subqueries and Correlated Queries
332(13)
8.2.1 WHERE Subqueries
334(2)
8.2.2 IN Subqueries
336(1)
8.2.3 HAVING Subqueries
336(1)
8.2.4 Multirow Subquery Operators: ANY and ALL
337(1)
8.2.5 FROM Subqueries
338(1)
8.2.6 Attribute List Subqueries
339(2)
8.2.7 Correlated Subqueries
341(4)
8.3 SQL Functions
345(9)
8.3.1 Date and Time Functions
345(4)
8.3.2 Numeric Functions
349(1)
8.3.3 String Functions
349(2)
8.3.4 Conversion Functions
351(3)
8.4 Relational Set Operators
354(7)
8.4.1 UNION
354(2)
8.4.2 UNION ALL
356(1)
8.4.3 INTERSECT
357(1)
8.4.4 EXCEPT (MINUS)
358(1)
8.4.5 Syntax Alternatives
359(2)
8.5 Virtual Tables: Creating a View
361(4)
8.5.1 Updatable Views
362(3)
8.6 Oracle Sequences
365(4)
8.7 Procedural SQL
369(25)
8.7.1 Triggers
374(11)
8.7.2 Stored Procedures
385(6)
8.7.3 PL/SQL Processing with Cursors
391(3)
8.7.4 PL/SQL Stored Functions
394(1)
8.8 Embedded SQL
394(18)
Summary
399(1)
Key Terms
400(1)
Review Questions
400(1)
Problems
401(9)
Cases
410(2)
Chapter 9 Database Design
412(41)
9.1 The Information System
413(1)
9.2 The Systems Development Life Cycle
414(4)
9.2.1 Planning
415(1)
9.2.2 Analysis
416(1)
9.2.3 Detailed Systems Design
416(1)
9.2.4 Implementation
417(1)
9.2.5 Maintenance
417(1)
9.3 The Database Life Cycle
418(12)
9.3.1 The Database Initial Study
418(4)
9.3.2 Database Design
422(1)
9.3.3 Implementation and Loading
423(3)
9.3.4 Testing and Evaluation
426(3)
9.3.5 Operation
429(1)
9.3.6 Maintenance and Evolution
429(1)
9.4 Conceptual Design
430(9)
9.4.1 Data Analysis and Requirements
431(2)
9.4.2 Entity Relationship Modeling and Normalization
433(3)
9.4.3 Data Model Verification
436(3)
9.4.4 Distributed Database Design
439(1)
9.5 DBMS Software Selection
439(1)
9.6 Logical Design
440(3)
9.6.1 Map the Conceptual Model to the Logical Model
440(2)
9.6.2 Validate the Logical Model Using Normalization
442(1)
9.6.3 Validate Logical Model Integrity Constraints
442(1)
9.6.4 Validate the Logical Model Against User Requirements
443(1)
9.7 Physical Design
443(2)
9.7.1 Define Data Storage Organization
443(1)
9.7.2 Define Integrity and Security Measures
444(1)
9.7.3 Determine Performance Measures
444(1)
9.8 Database Design Strategies
445(1)
9.9 Centralized vs. Decentralized Design
446(7)
Summary
449(1)
Key Terms
449(1)
Review Questions
449(1)
Problems
450(3)
PART IV ADVANCED DATABASE CONCEPTS
Business Vignette
453(1)
Chapter 10 Transaction Management and Concurrency Control
454(32)
10.1 What Is a Transaction?
455(6)
10.1.1 Evaluating Transaction Results
456(3)
10.1.2 Transaction Properties
459(1)
10.1.3 Transaction Management with SQL
460(1)
10.1.4 The Transaction Log
460(1)
10.2 Concurrency Control
461(5)
10.2.1 Lost Updates
462(1)
10.2.2 Uncommitted Data
463(1)
10.2.3 Inconsistent Retrievals
464(1)
10.2.4 The Scheduler
465(1)
10.3 Concurrency Control with Locking Methods
466(7)
10.3.1 Lock Granularity
467(3)
10.3.2 Lock Types
470(1)
10.3.3 Two-Phase Locking to Ensure Serializability
471(1)
10.3.4 Deadlocks
472(1)
10.4 Concurrency Control with Time Stamping Methods
473(2)
10.4.1 Wait/Die and Wound/Wait Schemes
474(1)
10.5 Concurrency Control with Optimistic Methods
475(1)
10.6 ANSI Levels of Transaction Isolation
475(2)
10.7 Database Recovery Management
477(9)
10.7.1 Transaction Recovery
477(4)
Summary
481(1)
Key Terms
482(1)
Review Questions
482(1)
Problems
483(3)
Chapter 11 Database Performance Tuning and Query Optimization
486(36)
11.1 Database Performance-Tuning Concepts
487(6)
11.1.1 Performance Tuning: Client and Server
488(1)
11.1.2 DBMS Architecture
489(1)
11.1.3 Database Query Optimization Modes
490(1)
11.1.4 Database Statistics
491(2)
11.2 Query Processing
493(3)
11.2.1 SQL Parsing Phase
494(1)
11.2.2 SQL Execution Phase
495(1)
11.2.3 SQL Fetching Phase
495(1)
11.2.4 Query Processing Bottlenecks
495(1)
11.3 Indexes and Query Optimization
496(2)
11.4 Optimizer Choices
498(3)
11.4.1 Using Hints to Affect Optimizer Choices
500(1)
11.5 SQL Performance Tuning
501(3)
11.5.1 Index Selectivity
501(1)
11.5.2 Conditional Expressions
502(2)
11.6 Query Formulation
504(1)
11.7 DBMS Performance Tuning
505(2)
11.8 Query Optimization Example
507(15)
Summary
516(1)
Key Terms
517(1)
Review Questions
517(1)
Problems
518(4)
Chapter 12 Distributed Database Management Systems
522(37)
12.1 The Evolution of Distributed Database Management Systems
523(2)
12.2 DDBMS Advantages and Disadvantages
525(1)
12.3 Distributed Processing and Distributed Databases
526(1)
12.4 Characteristics of Distributed Database Management Systems
527(2)
12.5 DDBMS Components
529(1)
12.6 Levels of Data and Process Distribution
530(3)
12.6.1 Single-Site Processing, Single-Site Data
530(1)
12.6.2 Multiple-Site Processing, Single-Site Data
531(1)
12.6.3 Multiple-Site Processing, Multiple-Site Data
532(1)
12.7 Distributed Database Transparency Features
533(1)
12.8 Distribution Transparency
534(2)
12.9 Transaction Transparency
536(5)
12.9.1 Distributed Requests and Distributed Transactions
536(4)
12.9.2 Distributed Concurrency Control
540(1)
12.9.3 Two-Phase Commit Protocol
540(1)
12.10 Performance and Failure Transparency
541(2)
12.11 Distributed Database Design
543(6)
12.11.1 Data Fragmentation
543(4)
12.11.2 Data Replication
547(1)
12.11.3 Data Allocation
548(1)
12.12 The CAP Theorem
549(1)
12.13 Hadoop Distributed File System
550(2)
12.14 C.J. Date's 12 Commandments for Distributed Databases
552(7)
Summary
554(1)
Key Terms
555(1)
Review Questions
555(1)
Problems
556(3)
Chapter 13 Business Intelligence and Data Warehouses
559(66)
13.1 The Need for Data Analysis
560(1)
13.2 Business Intelligence
560(11)
13.2.1 Business Intelligence Architecture
562(5)
13.2.2 Business Intelligence Benefits
567(1)
13.2.3 Business Intelligence Evolution
567(3)
13.2.4 Business Intelligence Technology Trends
570(1)
13.3 Decision Support Data
571(5)
13.3.1 Operational Data vs. Decision Support Data
571(3)
13.3.2 Decision Support Database Requirements
574(2)
13.4 The Data Warehouse
576(4)
13.4.1 Data Marts
578(1)
13.4.2 Twelve Rules That Define a Data Warehouse
579(1)
13.5 Star Schemas
580(10)
13.5.1 Facts
580(1)
13.5.2 Dimensions
580(1)
13.5.3 Attributes
581(1)
13.5.4 Attribute Hierarchies
582(2)
13.5.5 Star Schema Representation
584(3)
13.5.6 Performance-Improving Techniques for the Star Schema
587(3)
13.6 Data Analytics
590(4)
13.6.1 Data Mining
590(3)
13.6.2 Predictive Analytics
593(1)
13.7 Online Analytical Processing
594(9)
13.7.1 Multidimensional Data Analysis Techniques
594(2)
13.7.2 Advanced Database Support
596(1)
13.7.3 Easy-to-Use End-User Interfaces
596(1)
13.7.4 OLAP Architecture
597(2)
13.7.5 Relational OLAP
599(2)
13.7.6 Multidimensional OLAP
601(1)
13.7.7 Relational vs. Multidimensional OLAP
602(1)
13.8 SQL Extensions for OLAP
603(22)
13.8.1 The ROLLUP Extension
604(1)
13.8.2 The CUBE Extension
605(1)
13.8.3 Materialized Views
606(5)
Summary
611(1)
Key Terms
612(1)
Review Questions
612(1)
Problems
613(12)
PART V DATABASES AND THE INTERNET
Business Vignette
625(1)
Chapter 14 Database Connectivity and Web Technologies
626(43)
14.1 Database Connectivity
627(11)
14.1.1 Native SQL Connectivity
627(1)
14.1.2 ODBC, DAO, and RDO
628(3)
14.1.3 OLE-DB
631(3)
14.1.4 ADO.NET
634(2)
14.1.5 Java Database Connectivity (JDBC)
636(2)
14.2 Database Internet Connectivity
638(10)
14.2.1 Web-to-Database Middleware: Server-Side Extensions
639(2)
14.2.2 Web Server Interfaces
641(1)
14.2.3 The Web Browser
642(1)
14.2.4 Client-Side Extensions
643(1)
14.2.5 Web Application Servers
644(1)
14.2.6 Web Database Development
644(4)
14.3 Extensible Markup Language (XML)
648(8)
14.3.1 Document Type Definitions (DTD) and XML Schemas
650(3)
14.3.2 XML Presentation
653(2)
14.3.3 XML Applications
655(1)
14.4 Cloud Computing Services
656(13)
14.4.1 Cloud Implementation Types
658(1)
14.4.2 Characteristics of Cloud Services
659(1)
14.4.3 Types of Cloud Services
660(1)
14.4.4 Cloud Services: Advantages and Disadvantages
661(2)
14.4.5 SQL Data Services
663(1)
Summary
664(1)
Key Terms
665(1)
Review Questions
665(2)
Problems
667(2)
PART VI DATABASE ADMINISTRATION
Business Vignette
669(1)
Chapter 15 Database Administration and Security
670(45)
15.1 Data as a Corporate Asset
671(1)
15.2 The Need for a Database and Its Role in an Organization
672(2)
15.3 Introduction of a Database: Special Considerations
674(1)
15.4 The Evolution of Database Administration
675(3)
15.5 The Database Environment's Human Component
678(13)
15.5.1 The DBA's Managerial Role
680(4)
15.5.2 The DBA's Technical Role
684(6)
15.5.3 The DBA's Role in the Cloud
690(1)
15.6 Security
691(4)
15.6.1 Security Policies
692(1)
15.6.2 Security Vulnerabilities
692(2)
15.6.3 Database Security
694(1)
15.7 Database Administration Tools
695(5)
15.7.1 The Data Dictionary
695(3)
15.7.2 CASE Tools
698(2)
15.8 Developing a Data Administration Strategy
700(2)
15.9 The DBA at Work: Using Oracle for Database Administration
702(13)
15.9.1 Oracle Database Administration Tools
702(1)
15.9.2 Ensuring that the RDBMS Starts Automatically
703(1)
15.9.3 Creating Tablespaces and Datafiles
704(2)
15.9.4 Managing Users and Establishing Security
706(3)
15.9.5 Customizing the Database Initialization Parameters
709(2)
Summary
711(1)
Key Terms
712(1)
Review Questions
712(3)
Glossary 715(20)
Index 735
Carlos Coronel is currently the Lab Director for the College of Business Computer Labs at Middle Tennessee State University. He has more than 29 years of experience in various fields as a Database Administrator, Network Administrator, Web Manager, and Technology Specialist. He has taught courses in Web development, database design and development, and data communications at the undergraduate and graduate levels. Steven Morris completed his Bachelor of Science and Ph.D. from Auburn University. He has taught Database Design and Development, Database Programming with Advanced SQL and PL/SQL, Systems Analysis and Design, and Principles of MIS at Middle Tennessee State University. Steven has published many articles, and currently serves on the review boards of several journals.