Database Systems A Practical Approach to Design Implementation and Management 1st Edition by Thomas M Connolly, Carolyn Begg ISBN 1292061189

Database Systems A Practical Approach to Design Implementation and Management 1st Edition by Thomas M Connolly, Carolyn Begg – Ebook PDF Instant Download/Delivery. 1292061189, 9781292061184
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Product details:

ISBN 10: 1292061189 
ISBN 13: 9781292061184
Author: Thomas M Connolly, Carolyn Begg

An Accessible, Up-to-Date Introduction to Database Systems Database Systems, Second Edition provides a strong foundation in good design practice. Using an accessible, step-by-step approach, students will master a database methodology. Then, the authors apply this methodology to worked examples so students learn to design and build applications using a leading commercial database system. Also, a central, realistic case study is integrated throughout the text to provide an understanding of the issues involved. This new edition will build on the clear, accessible presentation of the successful first edition. New to the Second Edition

Includes additional and simplified examples.
Features new material on distributed databases including interactions with web-based data. Contains new material on object-oriented databases that covers the latest ODBM standards. Illustrates concepts with screen shots from Access(tm). Offers new coverage of query processing and optimization, data mining, data warehouses, multimedia databases, and the Internet.

Database Systems A Practical Approach to Design Implementation and Management 1st Table of contents:

Part I: Introduction and Basic Concepts

1. Introduction to Database Systems

   • Database Systems Overview
   • Traditional File Systems vs. Database Systems
   • Database Management Systems (DBMS)
   • Advantages of Databases
   • Types of DBMS and Architectures

2. Data Modeling and Entity-Relationship (ER) Modeling

   • Introduction to Data Models
   • Entity-Relationship (ER) Model
   • Attributes, Entities, and Relationships
   • ER Diagrams and Notation
   • Mapping ER Diagrams to Relational Model

Part II: Relational Databases

3. Relational Data Model

   • Relational Model Fundamentals
   • Relations, Tuples, and Attributes
   • Relational Constraints: Keys, Entity Integrity, Referential Integrity
   • Relational Algebra
   • Relational Calculus

4. Structured Query Language (SQL)

   • Introduction to SQL
   • Data Definition Language (DDL)
   • Data Manipulation Language (DML)
   • Data Control Language (DCL)
   • SQL Queries: SELECT, INSERT, UPDATE, DELETE
   • Subqueries, Joins, and Nested Queries

5. Relational Database Design

   • Functional Dependencies and Normalization
   • 1NF, 2NF, 3NF, and BCNF
   • Decomposition and Lossless Join
   • Multi-valued and Join Dependencies
   • Advanced Normalization Topics

Part III: Advanced Data Modeling and Design

6. Object-Oriented Data Model

   • Object-Oriented Concepts
   • Classes, Objects, and Methods
   • Object-Oriented Databases (OODBs)
   • Object-Relational Model and Hybrid Systems

7. Distributed Database Systems

   • Introduction to Distributed Databases
   • Distribution Transparency and Data Distribution Models
   • Fragmentation, Replication, and Allocation
   • Query Processing and Optimization in Distributed Systems
   • Distributed Transactions and Concurrency Control

8. Database Design Techniques

   • Top-Down vs. Bottom-Up Design
   • Database Design Methodologies
   • Entity-Relationship Diagram Design
   • Mapping Complex Data Structures to Relational Tables

Part IV: Database Implementation and Management

9. Indexing and Hashing

   • Indexing Basics and Types of Indexes
   • B-Trees and B+ Trees
   • Hashing Techniques
   • Multi-Level Indexing
   • Indexing for Query Optimization

10. Transaction Management

• Introduction to Transactions
• ACID Properties: Atomicity, Consistency, Isolation, Durability
• Transaction States and Scheduling
• Concurrency Control Techniques
• Two-Phase Locking and Timestamp Ordering
• Deadlock Detection and Prevention

11. Database Recovery and Backup

• Introduction to Database Recovery
• Types of Recovery Techniques: Log-Based, Shadow Paging
• Database Backup Strategies
• Recovery in Distributed Databases
• Point-in-Time Recovery

Part V: Advanced Topics

12. Data Warehousing and Data Mining

• Introduction to Data Warehousing
• Data Warehouse Architecture and Design
• OLAP vs. OLTP
• Data Mining: Concepts and Techniques
• Association Rules, Classification, and Clustering

13. Big Data and NoSQL Databases

• Introduction to Big Data
• Characteristics of NoSQL Databases
• Types of NoSQL Databases: Document, Key-Value, Columnar, Graph
• SQL vs. NoSQL: When to Use What
• Big Data Processing with Hadoop and Spark

14. Cloud Databases and Database as a Service (DBaaS)

• Introduction to Cloud Computing
• Database-as-a-Service (DBaaS) Models
• Cloud Database Architectures
• Scaling and Performance Considerations in the Cloud
• Security and Backup in Cloud Databases

Part VI: Case Studies and Real-World Applications

15. Case Study: Real-World Database Design

• Case Study of a Relational Database System
• Requirements Analysis and Database Design
• Implementing the Design and Query Optimization
• Testing and Performance Tuning

16. Database Security and Privacy

• Security Issues in Database Systems
• Authentication and Authorization
• Access Control Models
• Database Encryption Techniques
• Privacy and Regulatory Compliance (GDPR, HIPAA)

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