Modern Database Management 11th edition by Jeffrey Hoffer, Ramesh Venkataraman, Heikki Topi ISBN 0132662256 978-0132662253

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ISBN 10: 0132662256
ISBN 13: 978-0132662253
Author: Jeffrey Hoffer, Ramesh Venkataraman, Heikki Topi 

Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy and includes topics that are critical for the practical success of database professionals.

Modern Database Management 11th Table of contents:

• Introduction to Databases

  • What is a Database?
  • Database Systems vs. Traditional File Systems
  • Overview of Database Management Systems (DBMS)
  • Benefits and Challenges of Databases

• Database System Concepts and Architecture

  • The Database Approach: Advantages and Disadvantages
  • Database System Architecture
  • Data Models and Database Languages
  • Overview of DBMS components (DBMS Engine, Database Schema)

• Database Modeling Using the Entity-Relationship Model

  • Introduction to Data Modeling
  • Entity-Relationship (ER) Diagrams
  • Converting ER Diagrams into Relational Tables
  • Special Types of Relationships (Weak Entities, Recursive Relationships)

• Relational Database Design

  • Relational Models and Operations
  • Functional Dependencies and Normalization
  • First, Second, and Third Normal Forms (1NF, 2NF, 3NF)
  • Boyce-Codd Normal Form (BCNF)
  • Denormalization

• Structured Query Language (SQL)

  • Introduction to SQL
  • Basic SQL Queries: SELECT, INSERT, UPDATE, DELETE
  • Aggregate Functions and GROUP BY Clause
  • Subqueries and Join Operations
  • Advanced SQL Queries: Nested Queries, Set Operations

• Database Application Design

  • Introduction to Database Application Design
  • User Interface Design
  • Design of Forms and Reports
  • Application Development Life Cycle

• Relational Database Management Systems

  • RDBMS Architecture and Components
  • Data Integrity and Security Constraints
  • Transactions and Transaction Management
  • Concurrency Control in RDBMS
  • Database Recovery Techniques

• Indexing and Hashing

  • Introduction to Indexing
  • Types of Indexes (Primary, Secondary, Clustered)
  • Hashing Techniques for Fast Search
  • B-Trees and B+ Trees for Indexing
  • Multilevel Indexing

• Query Processing and Optimization

  • Introduction to Query Processing
  • Query Execution and Cost Estimation
  • Query Optimization Techniques
  • Join Algorithms and Indexing for Query Optimization

• Database Security

  • Database Security Concepts
  • User Authentication and Authorization
  • Encryption and Data Privacy
  • Security Policies and Access Control Mechanisms

• Distributed Databases

  • Introduction to Distributed Databases
  • Data Distribution and Replication
  • Distributed Query Processing and Optimization
  • Consistency and Concurrency in Distributed Databases

• Big Data and Data Warehousing

  • Introduction to Big Data and NoSQL Databases
  • Data Warehousing Concepts and Architecture
  • ETL (Extract, Transform, Load) Process
  • Data Mining and Business Intelligence
  • Introduction to Hadoop and MapReduce

• Database Administration

  • Role of a Database Administrator (DBA)
  • Database Backup and Recovery
  • Performance Tuning and Monitoring
  • Database Maintenance and Upgrades

• Emerging Trends in Database Management

  • Cloud Databases and Database as a Service (DBaaS)
  • In-Memory Databases
  • Graph Databases and their Applications
  • Machine Learning and Artificial Intelligence in Databases

• Conclusion

  • Future Directions in Database Technology
  • Summary of Key Concepts
  • Database Career Pathways

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