Database Systems A Practical Approach to Design, Implementation, and Management 6th Edition Thomas Connolly-Test Bank

This guide is good for a one- or two-term course in database administration or database design in an undergraduate or graduate stage course. With its complete protection, this guide can be used as a reference for IT professionals.
This best-selling textual content introduces the idea behind databases in a concise but complete method, offering database design methodology that can be utilized by each technical and non-technical readers. The methodology for relational Database Management Systems is offered in easy, step-by-step directions along with a sensible labored instance utilizing three specific phases—conceptual, logical, and bodily database design.

Instructing and Studying Expertise

This program presents a greater instructing and studying expertise–for you and your college students. It gives:

• Database Design Methodology that may be Utilized by Each Technical and Non-technical Readers
• A Complete Introduction to the Principle behind Databases
• A Clear Presentation that Helps Studying

Desk of Contents
Half 1 Background
Chapter 1 Introduction to Databases
1.1 Introduction
1.2 Conventional File-Based mostly Systems
1.2.1 File-Based mostly Approach
1.2.2 Limitations of the File-Based mostly Approach
1.3 Database Approach
1.3.1 The Database
1.3.2 The Database Management System (DBMS)
1.3.3 (Database) Software Packages
1.3.4 Elements of the DBMS Atmosphere
1.3.5 Database Design: The Paradigm Shift
1.4 Roles within the Database Atmosphere
1.4.1 Knowledge and Database Directors
1.4.2 Database Designers
1.4.3 Software Builders
1.4.4 Finish-Customers
1.5 Historical past of Database Management Systems
1.6 Benefits and Disadvantages of DBMSs
Chapter Abstract
Evaluation Questions
Workout routines
Chapter 2 Database Atmosphere
2.1 The Three-Degree ANSI-SPARC Structure
2.1.1 Exterior Degree
2.1.2 Conceptual Degree
2.1.3 Inner Degree
2.1.4 Schemas, Mappings, and Situations
2.1.5 Knowledge Independence
2.2 Database Languages
2.2.1 The Knowledge Definition Language (DDL)
2.2.2 The Knowledge Manipulation Language (DML)
2.2.3 Fourth-Era Languages (4GLs)
2.3 Knowledge Fashions and Conceptual Modeling
2.3.1 Object-Based mostly Knowledge Fashions
2.3.2 File-Based mostly Knowledge Fashions
2.3.3 Bodily Knowledge Fashions
2.3.4 Conceptual Modeling
2.4 Capabilities of a DBMS
Chapter Abstract
Evaluation Questions
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Chapter 3 Database Architectures and the Internet
3.1 Multi-user DBMS Architectures
3.1.1 Teleprocessing
3.1.2 File-Server Structure
3.1.3 Conventional Two-Tier Consumer—Server Structure
3.1.4 Three-Tier Consumer—Server Structure
3.1.5 N-Tier Architectures
3.1.6 Middleware
3.1.7 Transaction Processing Screens
3.2 Internet Companies and Service-Oriented Architectures
3.2.1 Internet Companies
3.2.2 Service-Oriented Architectures (SOA)
3.3 Distributed DBMSs
3.4 Knowledge Warehousing
3.5 Cloud Computing
3.5.1 Advantages and Dangers of Cloud Computing
3.5.2 Cloud-based database options
3.6 Elements of a DBMS
3.7 Oracle Structure
3.7.1 Oracle’s Logical Database Construction
3.7.2 Oracle’s Bodily Database Construction
Chapter Abstract
Evaluation Questions
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Half 2 The Relational Mannequin and Languages
Chapter 4 The Relational Mannequin
4.1 Transient Historical past of the Relational Mannequin
4.2 Terminology
4.2.1 Relational Knowledge Construction
4.2.2 Mathematical Relations
4.2.3 Database Relations
4.2.4 Properties of Relations
4.2.5 Relational Keys
4.2.6 Representing Relational Database Schemas
4.3 Integrity Constraints
4.3.1 Nulls
4.3.2 Entity Integrity
4.3.3 Referential Integrity
4.3.4 Common Constraints
4.4 Views
4.4.1 Terminology
4.4.2 Goal of Views
4.4.3 Updating Views
Chapter Abstract
Evaluation Questions
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Chapter 5 Relational Algebra and Relational Calculus
5.1 The Relational Algebra
5.1.1 Unary Operations
5.1.2 Set Operations
5.1.3 Be a part of Operations
5.1.4 Division Operation
5.1.5 Aggregation and Grouping Operations
5.1.6 Abstract of the Relational Algebra Operations
5.2 The Relational Calculus
5.2.1 Tuple Relational Calculus
5.2.2 Area Relational Calculus
5.3 Different Languages
Chapter Abstract
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Chapter 6 SQL: Knowledge Manipulation
6.1 Introduction to SQL
6.1.1 Aims of SQL
6.1.2 Historical past of SQL
6.1.3 Significance of SQL
6.1.4 Terminology
6.2 Writing SQL Instructions
6.3 Knowledge Manipulation
6.3.1 Easy Queries
6.3.2 Sorting Outcomes (ORDER BY Clause)
6.3.3 Utilizing the SQL Mixture Capabilities
6.3.4 Grouping Outcomes (GROUP BY Clause)
6.3.5 Subqueries
6.3.6 ANY and ALL
6.3.7 Multi-table Queries
6.3.8 EXISTS and NOT EXISTS
6.3.9 Combining End result Tables (UNION, INTERSECT, EXCEPT)
6.3.10 Database Updates
Chapter Abstract
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Chapter 7 SQL: Knowledge Definition
7.1 The ISO SQL Knowledge Varieties
7.1.1 SQL Identifiers
7.1.2 SQL Scalar Knowledge Varieties
7.2 Integrity Enhancement Function
7.2.1 Required Knowledge
7.2.2 Area Constraints
7.2.3 Entity Integrity
7.2.4 Referential Integrity
7.2.5 Common Constraints
7.3 Knowledge Definition
7.3.1 Making a Database
7.3.2 Making a Desk (CREATE TABLE)
7.3.3 Altering a Desk Definition (ALTER TABLE)
7.3.4 Eradicating a Desk (DROP TABLE)
7.3.5 Creating an Index (CREATE INDEX)
7.3.6 Eradicating an Index (DROP INDEX)
7.4 Views
7.4.1 Making a View (CREATE VIEW)
7.4.2 Eradicating a View (DROP VIEW)
7.4.3 View Decision
7.4.4 Restrictions on Views
7.4.5 View Updatability
7.4.6 WITH CHECK OPTION
7.4.7 Benefits and Disadvantages of Views
7.4.8 View Materialization
7.5 Transactions
7.5.1 Speedy and Deferred Integrity Constraints
7.6 Discretionary Entry Management
7.6.1 Granting Privileges to Different Customers (GRANT)
7.6.2 Revoking Privileges from Customers (REVOKE)
Chapter Abstract
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Chapter 8 Superior SQL
8.1 The SQL Programming Language
8.1.1 Declarations
8.1.2 Assignments
8.1.3 Management Statements
8.1.4 Exceptions in PL/SQL
8.1.5 Cursors in PL/SQL
8.2 Subprograms, Saved Procedures, Capabilities, and Packages
8.3 Triggers
8.4 Recursion
Chapter Abstract
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Chapter 9 Object-Relational DBMSs
9.1 Superior Database Functions
9.2 Weaknesses of RDBMSs
9.3 Storing Objects in a Relational Database
9.3.1 Mapping Lessons to Relations
9.3.2 Accessing Objects within the Relational Database
9.4 Introduction to Object-Relational Database Systems
9.5 SQL:2011
9.5.1 Row Varieties
9.5.2 Person-Outlined Varieties
9.5.3 Subtypes and Supertypes
9.5.4 Person-Outlined Routines
9.5.5 Polymorphism
9.5.6 Reference Varieties and Object Identification
9.5.7 Creating Tables
9.5.8 Querying Knowledge
9.5.9 Assortment Varieties
9.5.10 Typed Views
9.5.11 Persistent Saved Modules
9.5.12 Triggers
9.5.13 Giant Objects
9.5.14 Recursion
9.6 Object-Oriented Extensions in Oracle
9.6.1 Person-Outlined Knowledge Varieties
9.6.2 Manipulating Object Tables
9.6.3 Object Views
9.6.4 Privileges
Chapter Abstract
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Half 3 Database Evaluation and Design
Chapter 10 Database System Growth Lifecycle
10.1 The Info Systems Lifecycle
10.2 The Database System Growth Lifecycle
10.3 Database Planning
10.4 System Definition
10.4.1 Person Views
10.5 Necessities Assortment and Evaluation
10.5.1 Centralized Approach
10.5.2 View Integration Approach
10.6 Database Design
10.6.1 Approaches to Database Design
10.6.2 Knowledge Modeling
10.6.3 Phases of Database Design
10.7 DBMS Choice
10.7.1 Choosing the DBMS
10.8 Software Design
10.8.1 Transaction Design
10.8.2 Person Interface Design Pointers
10.9 Prototyping
10.10 Implementation
10.11 Knowledge Conversion and Loading
10.12 Testing
10.13 Operational Upkeep
10.14 CASE Instruments
Chapter Abstract
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Chapter 11 Database Evaluation and the DreamHome Case Examine
11.1 When Are Reality-Discovering Methods Used?
11.2 What Info Are Collected?
11.3 Reality-Discovering Methods
11.3.1 Inspecting Documentation
11.3.2 Interviewing
11.3.3 Observing the Enterprise in Operation
11.3.4 Analysis
11.3.5 Questionnaires
11.4 Utilizing Reality-Discovering Methods: A Labored -Instance
11.4.1 The DreamHome Case Examine–An Overview of the Present System
11.4.2 The DreamHome Case Examine–Database Planning
11.4.3 The DreamHome Case Examine–System Definition
11.4.4 The DreamHome Case Examine–Necessities Assortment and Evaluation
11.4.5 The DreamHome Case Examine–Database Design
Chapter Abstract
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Chapter 12 Entity—Relationship Modeling
12.1 Entity Varieties
12.2 Relationship Varieties
12.2.1 Diploma of Relationship Sort
12.2.2 Recursive Relationship
12.3 Attributes
12.3.1 Easy and Composite Attributes
12.3.2 Single-valued and Multi-valued Attributes
12.3.3 Derived Attributes
12.3.4 Keys
12.4 Sturdy and Weak Entity Varieties
12.5 Attributes on Relationships
12.6 Structural Constraints
12.6.1 One-to-One (1:1) Relationships
12.6.2 One-to-Many (1:*) Relationships
12.6.3 Many-to-Many (*:*) Relationships
12.6.4 Multiplicity for Advanced Relationships
12.6.5 Cardinality and Participation Constraints
12.7 Issues with ER Fashions
12.7.1 Fan Traps
12.7.2 Chasm Traps
Chapter Abstract
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Chapter 13 Enhanced Entity—Relationship Modeling
13.1 Specialization/Generalization
13.1.1 Superclasses and Subclasses
13.1.2 Superclass/Subclass Relationships
13.1.3 Attribute Inheritance
13.1.4 Specialization Course of
13.1.5 Generalization Course of
13.1.6 Constraints on Specialization/Generalization
13.1.7 Labored Instance of utilizing Specialization/ Generalization to Mannequin the Department View of the DreamHome Case Examine
13.2 Aggregation
13.3 Composition
Chapter Abstract
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Chapter 14 Normalization
14.1 The Goal of Normalization
14.2 How Normalization Helps Database Design
14.3 Knowledge Redundancy and Replace Anomalies
14.3.1 Insertion Anomalies
14.3.2 Deletion Anomalies
14.3.3 Modification Anomalies
14.4 Practical Dependencies
14.4.1 Traits of Practical Dependencies
14.4.2 Figuring out Practical Dependencies
14.4.3 Figuring out the Major Key for a Relation Utilizing Practical Dependencies
14.5 The Strategy of Normalization
14.6 First Regular Kind (1NF)
14.7 Second Regular Kind (2NF)
14.8 Third Regular Kind (3NF)
14.9 Common Definitions of 2NF and 3NF
Chapter Abstract
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Chapter 15 Superior Normalization
15.1 Extra on Practical Dependencies
15.1.1 Inference Guidelines for Practical Dependencies
15.1.2 Minimal Units of Practical Dependencies
15.2 Boyce—Codd Regular Kind (BCNF)
15.2.1 Definition of BCNF
15.3 Evaluation of Normalization Up to BCNF
15.4 Fourth Regular Kind (4NF)
15.4.1 Multi-Valued Dependency
15.4.2 Definition of Fourth Regular Kind
15.5 Fifth Regular Kind (5NF)
15.5.1 Lossless-Be a part of Dependency
15.5.2 Definition of Fifth Regular Kind
Chapter Abstract
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Half 4 Methodology
Chapter 16 Methodology–Conceptual Database Design
16.1 Introduction to the Database Design Methodology
16.1.1 What Is a Design Methodology?
16.1.2 Conceptual, Logical, and Bodily Database Design
16.1.3 Essential Success Components in Database Design
16.2 Overview of the Database Design Methodology
16.3 Conceptual Database Design Methodology
Step 1: Construct Conceptual Knowledge Mannequin
Chapter Abstract
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Chapter 17 Methodology–Logical Database Design for the Relational Mannequin
17.1 Logical Database Design Methodology for the Relational Mannequin
Step 2: Construct Logical Knowledge Mannequin
Chapter Abstract
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Chapter 18 Methodology–Bodily Database Design for Relational Databases
18.1 Comparability of Logical and Bodily Database Design
18.2 Overview of the Bodily Database Design Methodology
18.3 The Bodily Database Design Methodology for Relational Databases
Step 3: Translate Logical Knowledge Mannequin for Goal DBMS
Step 4: Design File Organizations and Indexes
Step 5: Design Person Views
Step 6: Design Safety Mechanisms
Chapter Abstract
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Chapter 19 Methodology–Monitoring and Tuning the Operational System
19.1 Denormalizing and Introducing Managed Redundancy
Step 7: Think about the Introduction of Managed Redundancy
19.2 Monitoring the System to Enhance Efficiency
Step 8: Monitor and Tune the Operational System
Chapter Abstract
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Half 5 Chosen Database Points
Chapter 20 Safety and Administration
20.1 Database Safety
20.1.1 Threats
20.2 Countermeasures–Pc-Based mostly Controls
20.2.1 Authorization
20.2.2 Entry Controls
20.2.3 Views
20.2.4 Backup and Restoration
20.2.5 Integrity
20.2.6 Encryption
20.2.7 RAID (Redundant Array of Unbiased Disks)
20.3 Safety in Microsoft Workplace Entry DBMS
20.4 Safety in Oracle DBMS
20.5 DBMSs and Internet Safety
20.5.1 Proxy Servers
20.5.2 Firewalls
20.5.3 Message Digest Algorithms and Digital Signatures
20.5.4 Digital Certificates
20.5.5 Kerberos
20.5.6 Safe Sockets Layer and Safe HTTP
20.5.7 Safe Digital Transactions and Safe Transaction Expertise
20.5.8 Java Safety
20.5.9 ActiveX Safety
20.6 Knowledge Administration and Database Administration
20.6.1 Knowledge Administration
20.6.2 Database Administration
20.6.3 Comparability of Knowledge and Database Administration
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Chapter 21 Skilled, Authorized, and Moral Points in Knowledge Management
21.1 Defining Authorized and Moral Points in IT
21.1.1 Defining Ethics within the Context of IT
21.1.2 The Distinction Between Moral and Authorized Conduct
21.1.3 Moral Conduct in IT
21.2 Laws and Its Affect on the IT Operate
21.2.1 Securities and Change Fee (SEC) Regulation Nationwide Market System (NMS)
21.2.2 The Sarbanes-Oxley Act, COBIT, and COSO
21.2.3 The Well being Insurance coverage Portability and Accountability Act
21.2.4 The European Union (EU) Directive on Knowledge Safety of 1995
21.2.5 The UK’s Knowledge Safety Act of 1998
21.2.6 Entry to Info Legal guidelines
21.2.7 Worldwide Banking–Basel II Accords
21.3 Establishing a Tradition of Authorized and Moral Knowledge Stewardship
21.3.1 Creating an Group-Vast Coverage for Authorized and Moral Conduct
21.3.2 Skilled Organizations and Codes of Ethics
21.3.3 Creating an Group-Vast Coverage for Authorized and Moral Conduct for DreamHome
21.4 Mental Property
21.4.1 Patent
21.4.2 Copyright
21.4.3 Trademark
21.4.4 Mental Property Rights Points for Software program
21.4.5 Mental Property Rights Points for Knowledge
Chapter Abstract
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Chapter 22 Transaction Management
22.1 Transaction Assist
22.1.1 Properties of Transactions
22.1.2 Database Structure
22.2 Concurrency Management
22.2.1 The Want for Concurrency Management
22.2.2 Serializability and Recoverability
22.2.3 Locking Strategies
22.2.4 Impasse
22.2.5 Timestamping Strategies
22.2.6 Multiversion Timestamp Ordering
22.2.7 Optimistic Methods
22.2.8 Granularity of Knowledge Gadgets
22.3 Database Restoration
22.3.1 The Want for Restoration
22.3.2 Transactions and Restoration
22.3.3 Restoration Amenities
22.3.4 Restoration Methods
22.3.5 Restoration in a Distributed DBMS
22.4 Superior Transaction Fashions
22.4.1 Nested Transaction Mannequin
22.4.2 Sagas
22.4.3 Multilevel Transaction Mannequin
22.4.4 Dynamic Restructuring
22.4.5 Workflow Fashions
22.5 Concurrency Management and Restoration in Oracle
22.5.1 Oracle’s Isolation Ranges
22.5.2 Multiversion Learn Consistency
22.5.3 Impasse Detection
22.5.4 Backup and Restoration
Chapter Abstract
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Chapter 23 Question Processing
23.1 Overview of Question Processing
23.2 Question Decomposition
23.3 Heuristical Approach to Question Optimization
23.3.1 Transformation Guidelines for the Relational Algebra Operations
23.3.2 Heuristical Processing Methods
23.4 Value Estimation for the Relational Algebra Operations
23.4.1 Database Statistics
23.4.2 Choice Operation (S = sp(R))
23.4.3 Be a part of Operation (T = (R 1F S))
23.4.4 Projection Operation (S = pA1, A2, . . . , A m(R))
23.4.5 The Relational Algebra Set Operations (T = R ¿ S, T = R > S, T = R — S)
23.5 Enumeration of Different Execution Methods
23.5.1 Pipelining
23.5.2 Linear Timber
23.5.3 Bodily Operators and Execution Methods
23.5.4 Lowering the Search Area
23.5.5 Enumerating Left-Deep Timber
23.5.6 Semantic Question Optimization
23.5.7 Different Approaches to Question Optimization
23.5.8 Distributed Question Optimization
23.6 Question Processing and Optimization
23.6.1 New Index Varieties
23.7 Question Optimization in Oracle
23.7.1 Rule-Based mostly and Value-Based mostly Optimization
23.7.2 Histograms
23.7.3 Viewing the Execution Plan
Chapter Abstract
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Half 6 Distributed DBMSs and Replication
Chapter 24 Distributed DBMSs–Ideas and Design
24.1 Introduction
24.1.1 Ideas
24.1.2 Benefits and Disadvantages of DDBMSs
24.1.3 Homogeneous and Heterogeneous DDBMSs
24.2 Overview of Networking
24.3 Capabilities and Architectures of a DDBMS
24.3.1 Capabilities of a DDBMS
24.3.2 Reference Structure for a DDBMS
24.3.3 Reference Structure for a Federated MDBS
24.3.4 Element Structure for a DDBMS
24.4 Distributed Relational Database Design
24.4.1 Knowledge Allocation
24.4.2 Fragmentation