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Modern Database Management

ISBN: 9780805360547 | 0805360549
Format: Hardcover
Publisher: Pearson College Div
Pub. Date: 8/1/1998

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SummaryTable of Contents
For Introductory courses in Database Management. Modern Database Management, 5/e is the ideal book for your database management course. While sufficient technical detail is provided, the emphasis remains on management and implementation issues pertinent in a business information systems curriculum. When used in tandem with Modern Systems Analysis and Design, 2/e by Jeffrey A. Hoffer, Joey F. George, and Joseph S. Valacich (1999-Addison Wesley Longman), students can follow a common systems development framework in the SA&D and database sequence.
... MORE
Prefacexix
Part I The Context of Database Management1(82)
PART I OVERVIEW2(1)
Chapter 1 The Database Environment
3(34)
Learning Objectives
3(1)
Introduction
3(1)
Basic Concepts and Definitions
4(3)
Data
4(1)
Data versus Information
5(1)
Metadata
5(2)
Traditional File Processing Systems
7(3)
File Processing Systems at Pine Valley Furniture Company
7(1)
Disadvantages of File Processing Systems
8(1)
Program-Data Dependence
8(1)
Duplication of Data
9(1)
Limited Data Sharing
9(1)
Lengthy Development Times
9(1)
Excessive Program Maintenance
10(1)
The Database Approach
10(5)
The Database Approach at Pine Valley Furniture Company
10(1)
Enterprise Data Model
10(1)
Relational Databases
11(2)
Implementing the Relational Database
13(1)
A Database Application
14(1)
The Range of Database Applications
15(5)
Personal Computer Databases
15(1)
Workgroup Databases
16(2)
Department Databases
18(1)
Enterprise Databases
19(1)
Summary of Databases Applications
20(1)
Advantages of the Database Approach
20(4)
Program-Data Independence
21(1)
Minimal Data Redundancy
21(1)
Improved Data Consistency
22(1)
Improved Data Sharing
22(1)
Increased Productivity of Application Development
22(1)
Enforcement of Standards
22(1)
Improved Data Quality
23(1)
Improved Data Accessibility and Responsiveness
23(1)
Reduced Program Maintenance
23(1)
Cautions About Database Benefits
23(1)
Costs and Risks of the Database Approach
24(1)
New, Specialized Personnel
24(1)
Installation and Management Cost and Complexity
24(1)
Conversion Costs
25(1)
Need for Explicit Backup and Recovery
25(1)
Organizational Conflict
25(1)
Components of the Database Environment
25(2)
Evolution of Database Systems
27(2)
1960s
28(1)
1970s
28(1)
1980s
28(1)
1990s
29(1)
2000 and Beyond
29(1)
Summary
29(1)
Chapter Review
30(5)
Key Terms
30(1)
Review Questions
31(1)
Problems and Exercises
31(2)
Field Exercises
33(1)
References
34(1)
Further Reading
34(1)
Project Case: Mountain View Community Hospital
35(2)
Chapter 2 Database Development Process
37(46)
Learning Objectives
37(1)
Introduction
37(1)
Database Development Within Information Systems Development
38(6)
Information Systems Architecture
39(1)
Information Engineering
40(1)
Information Systems Planning
40(1)
Identifying Strategic Planning Factors
41(1)
Identifying Corporate Planning Objects
41(1)
Developing an Enterprise Model
41(3)
Database Development Process
44(7)
Systems Development Life Cycle
45(1)
Enterprise Modeling
46(1)
Conceptual Data Modeling
47(1)
Logical Database Design
47(1)
Physical Database Design and Creation
48(1)
Database Implementation
48(1)
Database Maintenance
48(1)
Alternative IS Development Approaches
48(2)
The Role of CASE and a Repository
50(1)
Managing the People Involved in Database Development
51(2)
Three-Schema Architecture for Database Development
53(3)
Three-Tiered Database Location Architecture
56(2)
Developing a Database Application for Pine Valley Furniture
58(12)
Matching User Needs to the Information Systems Architecture
59(2)
Analyzing Database Requirements
61(3)
Designing the Database
64(3)
Using a Database
67(2)
Administering a Database
69(1)
Summary
70(1)
Chapter Review
71(6)
Key Terms
71(1)
Review Questions
71(1)
Problems and Exercises
72(3)
Field Exercises
75(1)
References
75(1)
Further Reading
76(1)
Project Case: Mountain View Community Hospital
77(6)
Part II Database Analysis83(122)
PART II OVERVIEW84(1)
Chapter 3 The Entity-Relationship Model
85(44)
Learning Objectives
85(1)
Introduction
85(2)
The E-R Model
87(2)
Sample E-R Diagram
87(2)
E-R Model Notation
89(1)
Entity-Relationship Model Constructs
89(2)
Entities
89(2)
Entity Type Versus Entity Instance
91(1)
Entity Type Versus System Input, Output, or User
91(6)
Strong Versus Weak Entity Types
92(1)
Attributes
93(1)
Simple Versus Composite Attributes
94(1)
Single-Valued Versus Multivalued Attributes
95(1)
Stored Versus Derived Attributes
95(2)
Relationships
97(14)
Basic Concepts and Definitions in Relationships
98(1)
Attributes on Relationships
99(1)
Associative Entities
99(2)
Degree of a Relationship
101(1)
Unary Relationship
101(3)
Binary Relationship
104(1)
Ternary Relationship
104(1)
Cardinality Constraints
105(1)
Minimum Cardinality
106(1)
Maximum Cardinality
106(1)
Some Examples
106(1)
A Ternary Relationship
107(1)
Modeling Time-Dependent Data
107(3)
Multiple Relationships
110(1)
E-R Modeling Example: Pine Valley Furniture Company
111(3)
Database Processing at Pine Valley Furniture
114(3)
Showing Product Information
114(1)
Showing Customer Information
115(1)
Showing Customer Order Status
115(2)
Showing Product Sales
117(1)
Summary
117(1)
Chapter Review
118(8)
Key Terms
118(1)
Review Questions
119(1)
Problems and Exercises
119(5)
Field Exercises
124(1)
References
124(1)
Further Reading
125(1)
Project Case: Mountain View Community Hospital
126(3)
Chapter 4 The Enhanced E-R Model and Business Rules
129(38)
Learning Objectives
129(1)
Introduction
129(1)
Representing Supertypes and Subtypes
130(7)
Basic Concepts and Notation
130(1)
An Example
131(2)
Attribute Inheritance
133(1)
When to Use Supertype/Subtype Relationships
133(1)
Representing Specialization and Generalization
133(1)
Generalization
133(3)
Specialization
136(1)
Combining Specialization and Generalization
137(1)
Specifying Constraints in Supertype/Subtype Relationships
137(8)
Specifying Completeness Constraints
137(1)
Total Specialization Rule
138(1)
Partial Specialization Rule
138(1)
Specifying Disjointness Constraints
138(1)
Disjoint Rule
139(1)
Overlap Rule
139(2)
Defining Subtype Discriminators
141(1)
Disjoint Subtypes
141(1)
Overlapping Subtypes
142(1)
Defining Supertype/Subtype Hierarchies
143(1)
An Example
143(2)
Summary of Supertype/Subtype Hierarchies
145(1)
Business Rules: An Overview
145(3)
The Business Rules Paradigm
146(1)
Scope of Business Rules
146(1)
Classification of Business Rules
147(1)
Business Rules: Defining Structural Constraints
148(6)
Definitions
148(1)
Facts
148(1)
Derived Facts
149(1)
Definitions for Data Model
150(1)
Importance of Precise Definitions
150(3)
Domain Constraints
153(1)
Business Rules: Defining Operational Constraints
154(5)
Declarative Approach to Business Rules
154(1)
Constraint Specification Language
155(1)
Constrained Objects and Constraining Objects
155(1)
Sample Business Rules
156(3)
Summary
159(1)
Chapter Review
160(5)
Key Terms
160(1)
Review Questions
160(1)
Problems and Exercises
161(2)
Field Exercises
163(1)
References
164(1)
Further Reading
164(1)
Project Case: Mountain View Community Hospital
165(2)
Chapter 5 Object-Oriented Modeling
167(38)
Learning Objectives
167(1)
Introduction
167(3)
The Unified Modeling Language
170(1)
Object-Oriented Modeling
171(20)
Representing Objects and Classes
171(2)
Types of Operations
173(1)
Representing Associations
174(3)
Representing Association Classes
177(3)
Representing Derived Attributes, Derived Associations, and Derived Roles
180(1)
Representing Generalization
181(5)
Interpreting Inheritance and Overriding
186(1)
Representing Multiple Inheritance
187(1)
Representing Aggregation
187(4)
Business Rules
191(1)
Object Modeling Example: Pine Valley Furniture Company
191(3)
Summary
194(1)
Chapter Review
195(7)
Key Terms
195(1)
Review Questions
196(1)
Problems and Exercises
197(4)
Field Exercises
201(1)
References
201(1)
Project Case: Mountain View Community Hospital
202(3)
Part III Database Design205(90)
PART III OVERVIEW206(1)
Chapter 6 Logical Database Design and the Relational Model
207(46)
Learning Objectives
207(1)
Introduction
207(1)
The Relational Data Model
208(5)
Basic Definitions
208(1)
Relational Data Structure
209(1)
Relational Keys
209(1)
Properties of Relations
210(1)
Removing Multivalued Attributes from Tables
210(1)
Example Database
211(2)
Integrity Constraints
213(5)
Domain Constraints
213(1)
Entity Integrity
213(1)
Referential Integrity
214(1)
Operational Constraints
215(1)
Creating Relational Tables
215(2)
Well-Structured Relations
217(1)
Transforming EER Diagrams into Relations
218(14)
Step 1: Map Regular Entities
219(1)
Composite Attributes
219(1)
Multivalued Attributes
220(1)
Step 2: Map Weak Entities
221(1)
Step 3: Map Binary Relationships
222(1)
Map Binary One-to-Many Relationships
222(1)
Map Binary Many-to-Many Relationships
223(1)
Map Binary One-to-One Relationships
224(1)
Step 4: Map Associative Entities
224(1)
Identifier Not Assigned
224(1)
Identifier Assigned
225(2)
Step 5: Map Unary Relationships
227(1)
Unary One-to-Many Relationships
227(1)
Unary Many-to-Many Relationships
228(1)
Step 6: Map Ternary (and n-ary) Relationships
229(2)
Step 7: Map Supertype/Subtype Relationships
231(1)
Introduction to Normalization
232(5)
Steps in Normalization
233(2)
Functional Dependencies and Keys
235(1)
Determinants
235(1)
Candidate Keys
235(2)
The Basic Normal Forms
237(4)
First Normal Form
237(1)
Second Normal Form
237(1)
Third Normal Form
238(3)
Normalizing Summary Data
241(1)
Merging Relations
241(2)
An Example
241(1)
View Integration Problems
241(1)
Synonyms
242(1)
Homonyms
242(1)
Transitive Dependencies
242(1)
Supertype/Subtype Relationships
243(1)
Summary
243(1)
Chapter Review
244(7)
Key Terms
244(1)
Review Questions
244(1)
Problems and Exercises
245(4)
Field Exercises
249(1)
References
250(1)
Further Reading
250(1)
Project Case: Mountain View Community Hospital
251(2)
Chapter 7 Physical Database Design
253(42)
Learning Objectives
253(1)
Introduction
253(1)
Physical Database Design Process
254(3)
Data Volume and Usage Analysis
255(2)
Designing Fields
257(3)
Choosing Data Types
257(1)
Coding and Compression Techniques
257(2)
Controlling Data Integrity
259(1)
Handling Missing Data
260(1)
Designing Physical Records and Denormalization
260(7)
Handling Fixed-Length Fields
261(1)
Handling Variable-Length Fields
261(1)
Denormalization
261(6)
Designing Physical Files
267(7)
Pointer
267(1)
Access Methods
267(1)
File Organizations
268(1)
Sequential File Organizations
268(1)
Indexed File Organizations
268(4)
Hashed File Organizations
272(1)
Summary of File Organizations
272(1)
Clustering Files
272(2)
Designing Controls for Files
274(1)
Using and Selecting Indexes
274(2)
Creating a Primary Key Index
274(1)
Creating a Secondary Key Index
275(1)
When to Use Indexes
275(1)
RAID: Improving File Access Performance by Parallel Processing
276(6)
Choosing Among RAID Levels
278(1)
RAID-0
278(1)
RAID-1
278(3)
RAID-2
281(1)
RAID-3
281(1)
RAID-4
281(1)
RAID-5
281(1)
RAID Performance
281(1)
Designing Databases
282(3)
Choosing Database Architectures
282(3)
Optimizing for Query Performance
285(1)
Summary
286(2)
Chapter Review
288(5)
Key Terms
288(1)
Review Questions
288(1)
Problems and Exercises
289(2)
Field Exercises
291(1)
References
292(1)
Further Reading
292(1)
Project Case: Mountain View Community Hospital
293(2)
Part IV Implementation295(186)
PART IV OVERVIEW296(1)
Chapter 8 Client/Server and Middleware
297(26)
Learning Objectives
297(1)
Introduction
297(1)
Client/Server Architectures
298(4)
File Server Architectures
299(1)
Limitations of File Servers
300(1)
Database Server Architectures
301(1)
Three-Tier Architectures
302(2)
Partitioning an Application
304(1)
Role of the Mainframe
305(1)
Using Parallel Computer Architectures
306(3)
Multiprocessor Hardware Architectures
307(1)
Business Related Uses of SMP and MPP Architectures
308(1)
Using Middleware
309(2)
Establishing Client/Server Security
311(1)
Client/Server Issues
312(2)
Summary
314(1)
Chapter Review
315(4)
Key Terms
315(1)
Review Questions
316(1)
Problems and Exercises
316(1)
Field Exercises
317(1)
References
318(1)
Project Case: Mountain View Community Hospital
319(4)
Chapter 9 SQL
323(58)
Learning Objectives
323(1)
Introduction
323(1)
History of the SQL Standard
324(1)
The Role of SQL in a Database Architecture
325(2)
The SQL Environment
327(4)
Defining a Database in SQL
331(6)
Generating SQL Database Definitions
332(1)
Creating Tables
332(2)
Creating Data Integrity Controls
334(2)
Changing Table Definitions
336(1)
Removing Tables
336(1)
Establishing Synonyms
336(1)
Inserting, Updating, and Deleting Data
337(1)
Batch Input
337(1)
Deleting Database Contents
338(1)
Changing Database Contents
338(1)
Internal Schema Definition in RDBMSs
338(2)
Creating Indexes
339(1)
Processing Single Tables
340(14)
Clauses of the SELECT Statement
340(2)
Using Expressions
342(1)
Using Functions
343(2)
Using Wildcards
345(1)
Comparison Operators
345(1)
Using Boolean Operators
346(1)
Ranges
347(1)
Distinct
348(2)
IN and NOT IN Lists
350(1)
Sorting Results: The ORDER BY Clause
350(1)
Categorizing Results: The GROUP BY Clause
351(1)
Qualifying Results by Categories: The HAVING Clause
352(2)
Processing Multiple Tables
354(9)
Equi-join
354(1)
Natural Join
355(1)
Outer Join
356(2)
Subqueries
358(3)
Correlated Subqueries
361(2)
View Definitions
363(3)
Ensuring Transaction Integrity
366(2)
Data Dictionary Facilities
368(1)
Triggers and Procedures
369(2)
SQL3
371(1)
Summary
372(1)
Chapter Review
373(7)
Key Terms
373(1)
Review Questions
373(1)
Problems and Exercises
374(3)
Field Exercises
377(1)
References
378(1)
Web Site References
378(1)
Further Reading
379(1)
Project Case: Mountain View Community Hospital
380(1)
Chapter 10 Database Access from Client Applications
381(36)
Learning Objectives
381(1)
Introduction
381(1)
Survey of Desktop Database Technology
382(1)
Using Query-by-Example
383(13)
The History and Importance of QBE
384(1)
QBE: The Basics
384(2)
Database Definition
386(1)
Relationships
387(1)
Building Queries Using QBE
388(1)
Single-Table Queries
388(2)
Selecting Qualified Records
390(1)
Multiple-Table Queries
390(2)
Self-Join
392(1)
Basing a Query on Another Query
393(1)
Access97 Query Types
394(2)
Building a Client Application
396(5)
Application Menus
396(1)
Form Development
397(2)
Report Development
399(2)
Using OLE, COM, and ActiveX Controls for Database Access
401(2)
Embedding SQL in Programs
403(3)
Using Visual Basic for Applications (VBA) in Client Applications
406(1)
Building Internet Database Servers
407(2)
Summary
409(1)
Chapter Review
410(5)
Key Terms
410(1)
Review Questions
410(1)
Problems and Exercises
411(2)
Field Exercises
413(1)
References
414(1)
Project Case: Mountain View Community Hospital
415(2)
Chapter 11 Distributed Databases
417(36)
Learning Objectives
417(1)
Introduction
417(5)
Objectives and Trade-offs
421(1)
Options for Distributing a Database
422(9)
Data Replication
423(1)
Snapshot Replication
424(1)
Near Real-Time Replication
425(1)
Pull Replication
425(1)
Database Integrity with Replication
425(1)
When to Use Replication
426(1)
Horizontal Partitioning
426(1)
Vertical Partitioning
427(2)
Combinations of Operations
429(1)
Selecting the Right Data Distribution Strategy
430(1)
Distributed DBMS
431(11)
Location Transparency
433(1)
Replication Transparency
434(1)
Failure Transparency
435(1)
Commit Protocol
435(1)
Concurrency Transparency
436(1)
Timestamping
437(1)
Query Optimization
437(3)
Evolution of Distributed DBMS
440(1)
Remote Unit of Work
440(1)
Distributed Unit of Work
441(1)
Distributed Request
441(1)
Distributed DBMS Products
442(3)
IBM Corporation and DB2
442(1)
Sybase Inc.
443(1)
Oracle Corporation
444(1)
Computer Associates International and Ingres
444(1)
Microsoft Corporation and SQL Server
445(1)
Summary
445(2)
Chapter Review
447(5)
Key Terms
447(1)
Review Questions
447(1)
Problems and Exercises
448(2)
Field Exercises
450(1)
References
451(1)
Project Case: Mountain View Community Hospital
452(1)
Chapter 12 Object-Oriented Database Development
453(28)
Learning Objectives
453(1)
Introduction
453(1)
Object Definition Language
454(12)
Defining a Class
454(1)
Defining an Attribute
455(1)
Defining User Structures
456(1)
Defining Operations
456(1)
Defining a Range for an Attribute
457(1)
Defining Relationships
457(2)
Defining an Attribute with an Object Identifier as Its Value
459(1)
Defining Many-to-Many Relationships, Keys, and Multivalued Attributes
460(2)
Defining Generalization
462(2)
Defining an Abstract Class
464(2)
Defining Other User Structures
464(2)
OODB Design for Pine Valley Furniture Company
466(1)
Creating Object Instances
467(1)
Object Query Language
468(6)
Basic Retrieval Command
469(1)
Including Operations in Select Clause
469(1)
Finding Distinct Values
470(1)
Querying Multiple Classes
470(1)
Writing Subqueries
471(1)
Calculating Summary Values
471(1)
Calculating Group Summary Values
472(1)
Qualifying Groups
472(1)
Using a Set in a Query
473(1)
Current ODBMS Products and Their Applications
474(1)
Summary
474(1)
Chapter Review
475(4)
Key Terms
475(1)
Review Questions
476(1)
Problems and Exercises
476(1)
Field Exercises
477(1)
References
478(1)
Project Case: Mountain View Community Hospital
479(2)
Part V Data Administration481(92)
PART V OVERVIEW482(1)
Chapter 13 Data and Database Administration
483(46)
Learning Objectives
483(1)
Introduction
483(1)
The Changing Roles of Data and Database Administrators
484(6)
Data Administration
484(1)
Database Administration
485(3)
Changing Approaches to Data Administration
488(2)
Modeling Enterprise Data
490(1)
Planning for Databases
491(1)
Managing Data Security
492(6)
Threats to Data Security
492(2)
Views
494(1)
Authorization Rules
495(2)
User-Defined Procedures
497(1)
Encryption
497(1)
Authentication Schemes
497(1)
Backing Up Database
498(7)
Basic Recovery Facilities
499(1)
Backup Facilities
499(1)
Journalizing Facilities
499(1)
Checkpoint Facility
500(1)
Recovery Manager
500(1)
Recovery and Restart Procedures
500(1)
Switch
501(1)
Restore/Rerun
501(1)
Transaction Integrity
501(1)
Backward Recovery
502(1)
Forward Recovery
503(1)
Types of Database Failure
503(1)
Aborted Transactions
503(1)
Incorrect Data
504(1)
System Failure
504(1)
Database Destruction
505(1)
Controlling Concurrent Access
505(6)
The Problem of Lost Updates
505(1)
Serializability
506(1)
Locking Mechanisms
507(1)
Locking Level
507(1)
Types of Locks
508(1)
Deadlock
508(2)
Managing Deadlock
510(1)
Versioning
510(1)
Managing Data Quality
511(3)
Security Policy and Disaster Recovery
512(1)
Personnel Controls
513(1)
Physical Access Controls
513(1)
Maintenance Controls
514(1)
Data Protection and Privacy
514(1)
Data Dictionaries and Repositories
514(2)
Repositories
515(1)
Overview of Tuning the Database for Performance
516(3)
Installation of the DBMS
517(1)
Memory Usage
517(1)
Input/Output (I/O) Contention
518(1)
CPU Usage
518(1)
Application Tuning
518(1)
Summary
519(1)
Chapter Review
520(7)
Key Terms
520(1)
Review Questions
520(2)
Problems and Exercises
522(3)
Field Exercises
525(1)
References
525(2)
Project Case: Mountain View Community Hospital
527(2)
Chapter 14 Data Warehouse
529(44)
Learning Objectives
529(1)
Introduction
529(2)
Basic Concepts of Data Warehousing
531(3)
A Brief History
531(1)
The Need for Data Warehousing
532(1)
Need for a Company-Wide View
532(1)
Need to Separate Operational and Information Systems
533(1)
Data Warehouse Architectures
534(4)
Generic Two-Level Architecture
534(1)
An Expanded Data Warehouse Architecture
534(3)
Three-Layer Data Architecture
537(1)
Role of the Enterprise Data Model
537(1)
Role of Metadata
537(1)
Some Data Characteristics
538(4)
Status versus Event Data
538(1)
Transient versus Periodic Data
539(1)
An Example of Transient and Periodic Data
540(1)
Transient Data
541(1)
Periodic Data
542(1)
The Reconciled Data Layer
542(4)
Characteristics of Reconciled Data
543(1)
The Data Reconciliation Process
543(1)
Capture
544(1)
Scrub
544(1)
Load and Index
545(1)
Data Transformation
546(5)
Data Transformation Functions
547(1)
Record-Level Functions
547(1)
Field-Level Functions
548(2)
More Complex Transformations
550(1)
Tools to Support Data Reconciliation
550(1)
Data Quality Tools
550(1)
Data Conversion Tools
550(1)
Data-Cleansing Tools
550(1)
The Derived Data Layer
551(8)
Characteristics of Derived Data
551(1)
The Star Schema
552(1)
Fact Tables and Dimension Tables
552(1)
Example Star Schema
552(2)
Grain of a Fact Table
554(1)
Size of the Fact Table
554(2)
Variations of the Star Schema
556(1)
Multiple Fact Tables
556(1)
Snowflake Schema
556(1)
Proprietary Database
557(1)
Independent versus Dependent Data Marts
558(1)
The User Interface
559(4)
Role of Metadata
559(1)
On-Line Analytical Processing (OLAP) Tools
560(1)
Slicing a Cube
561(1)
Drill-Down
561(1)
Data-Mining Tools
562(1)
Data-Mining Techniques
562(1)
Data-Mining Applications
562(1)
Data Visualization
563(1)
Summary
563(2)
Chapter Review
565(5)
Key Terms
565(1)
Review Questions
565(1)
Problems and Exercises
566(2)
Field Exercises
568(1)
References
568(1)
Further Reading
569(1)
Project Case: Mountain View Community Hospital
570(3)
Appendix A Object-Relational Databases
573(6)
Basic Concepts and Definitions
573(2)
Features of an ORDBMS
574(1)
Complex Data Types
574(1)
Enhanced SQL
575(1)
A Simple Example
575(1)
Content Addressing
576(1)
Advantages of the Object-Relational Approach
576(1)
ORDBMS Vendors and Products
577(1)
References
577(2)
Appendix B Advanced Normal Forms
579(6)
Boyce-Codd Normal Form
579(3)
Anomalies in STUDENT_ADVISOR
579(1)
Definition of Boyce-Codd Normal Form (BCNF)
580(1)
Converting a Relation to BCNF
580(2)
Fourth Normal Form
582(2)
Multivalued Dependencies
583(1)
Higher Normal Forms
584(1)
References
584(1)
Appendix C Data Structures
585(14)
Pointers
585(2)
Data Structure Building Blocks
587(2)
Linear Data Structures
589(5)
Stacks
590(1)
Queues
590(1)
Sorted Lists
591(2)
Multilists
593(1)
Hazards of Chain Structures
594(1)
Trees
594(4)
Balanced Trees
595(3)
References
598(1)
Glossary of Terms599(12)
Glossary of Acronyms611(2)
Index613

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