Entity Framework Data Access Technology With C#

✍ Scribed by Edet, Theophilus

• Publisher: CompreQuest Books
• Year: 2023
• Tongue: English
• Leaves: 347
• Series: Mastering Database Management Series
• Category: Library

✦ Synopsis

Explore the world of data access and revolutionize your C# development skills with "Entity Framework Data Access Technology With C#." This comprehensive guide will empower you with the knowledge and techniques to harness the full potential of Entity Framework, a powerful tool for seamlessly integrating databases into your applications.
Inside the pages of this book, you'll embark on a journey that unravels the intricate details of Entity Framework. Whether you're new to C# or an experienced developer, you'll find valuable insights, practical examples, and expert guidance to take your data access capabilities to the next level.
Key Highlights
Demystifying Entity Framework: Gain a deep understanding of Entity Framework, from data modeling and database approaches to the inner workings of Code-First and Database-First methods.
Efficient Data Operations: Master Create, Read, Update, and Delete (CRUD) operations using the power of LINQ and Entity SQL, ensuring you can navigate data effortlessly.
Performance Optimization: Explore tips and tricks for supercharging performance through intelligent querying, effective data validation, and caching strategies.
Advanced Techniques: Elevate your skills by delving into advanced topics like security, error handling, and building scalable applications using Entity Framework.
Real-World Application: Apply your knowledge through practical case studies, including the development of e-commerce websites and inventory management systems.
Emerging Technologies: Get a glimpse into the future of Entity Framework and how it may integrate with cutting-edge trends such as GraphQL, Machine Learning, and Blockchain.
Whether you're a newcomer to C# development or a seasoned pro, "Entity Framework Data Access Technology With C#" equips you with the tools to create robust, efficient, and forward-looking applications. With hands-on examples, real-world use cases, and a forward-thinking perspective, this book is your compass to harnessing the full potential of C# data access. Dive into "Entity Framework Data Access Technology With C#" today and elevate your development capabilities.

✦ Table of Contents

Preface
Entity Framework Data Access Technology With C#
Module 1: Introduction to Entity Framework
Module 1: Introduction to Entity Framework
Course Overview
Understanding Data Access Technologies
What is Entity Framework?
Benefits of Using Entity Framework
Module 2: Setting Up the Environment
Module 2: Setting Up the Environment
Installing Entity Framework
Creating a New C# Project
Configuring Database Connections
Creating the Initial Model
Module 3: Entity Framework Data Models
Module 3: Entity Framework Data Models
Introduction to Data Models
Creating Entities and Relationships
Code-First vs. Database-First Approaches
Working with Complex Types
Module 4: CRUD Operations
Module 4: CRUD Operations
Introduction to CRUD Operations
Reading Data with LINQ Queries
Adding New Records
Updating and Deleting Records
Module 5: LINQ and Entity SQL
Module 5: LINQ and Entity SQL
Understanding LINQ
Writing LINQ Queries with Entity Framework
Using Entity SQL for Advanced Queries
Performance Considerations
Module 6: Entity Framework and Databases
Module 6: Entity Framework and Databases
Database Migrations
Database Initialization Strategies
Working with Stored Procedures
Handling Database Transactions
Module 7: Entity Framework and ASP.NET Core
Module 7: Entity Framework and ASP.NET Core
Integrating Entity Framework with ASP.NET Core
Creating Web APIs
Consuming APIs in Web Applications
Security Considerations
Module 8: Advanced Querying and Filtering
Module 8: Advanced Querying and Filtering
Complex Querying Techniques
Filtering and Sorting Data
Handling Pagination
Caching Data for Performance
Module 9: Data Validation and Error Handling
Module 9: Data Validation and Error Handling
Implementing Data Validation
Handling Validation Errors
Error Logging and Exception Handling
Best Practices for Error Handling
Module 10: Optimizing Entity Framework Performance
Module 10: Optimizing Entity Framework Performance
Analyzing Performance Bottlenecks
Lazy Loading vs. Eager Loading
Optimizing Database Queries
Caching Strategies
Module 11: Security and Authorization
Module 11: Security and Authorization
Authentication and Authorization Basics
Securing Entity Framework Queries
Role-Based Access Control
Implementing Claims-Based Security
Module 12: Testing and Debugging
Module 12: Testing and Debugging
Unit Testing with Entity Framework
Debugging Entity Framework Code
Mocking the Database Context
Continuous Integration and Deployment
Module 13: Advanced Topics in Entity Framework
Module 13: Advanced Topics in Entity Framework
Working with NoSQL Data Stores
Integration with Other ORM Frameworks
Geospatial Data with Entity Framework
Customizing Entity Framework Behavior
Module 14: Real-world Applications and Case Studies
Module 14: Real-world Applications and Case Studies
Building a Full-Stack Application
Case Study: E-commerce Website
Case Study: Inventory Management System
Performance Optimization in Real-world Applications
Module 15: Scalability and Load Balancing
Module 15: Scalability and Load Balancing
Understanding Scalability Concepts
Scaling Entity Framework Applications
Load Balancing Strategies
High Availability Considerations
Module 16: Data Migration and Versioning
Module 16: Data Migration and Versioning
Data Migration Strategies
Managing Database Versions
Handling Data Schema Changes
Data Versioning Best Practices
Module 17: Entity Framework in Microservices
Module 17: Entity Framework in Microservices
Microservices Architecture Overview
Using Entity Framework in Microservices
Communication Between Microservices
Monitoring and Scaling Microservices
Module 18: Entity Framework and Cloud Platforms
Module 18: Entity Framework and Cloud Platforms
Entity Framework in the Cloud
Azure SQL Database and Entity Framework
AWS RDS and Entity Framework
Google Cloud SQL and Entity Framework
Module 19: Internationalization and Localization
Module 19: Internationalization and Localization
Internationalization (i18n) Basics
Localization (l10n) Strategies
Multilingual Data Storage
Building Multilingual Applications
Module 20: Code Profiling and Optimization
Module 20: Code Profiling and Optimization
Profiling Entity Framework Code
Identifying Performance Bottlenecks
Code Optimization Techniques
Benchmarking and Testing Performance
Module 21: Entity Framework Best Practices
Module 21: Entity Framework Best Practices
Best Practices for Code Organization
Security Best Practices
Performance Best Practices
Maintenance and Versioning Best Practices
Module 22: Data Analytics and Reporting
Module 22: Data Analytics and Reporting
Integrating Entity Framework with Reporting Tools
Building Data Dashboards
Data Analysis and Visualization
Reporting Best Practices
Module 23: Future Trends and Emerging Technologies
Module 23: Future Trends and Emerging Technologies
Entity Framework Core and Beyond
GraphQL and Entity Framework
Machine Learning and Entity Framework
Blockchain and Entity Framework
Module 24: Extending Entity Framework
Module 24: Extending Entity Framework
Building Custom Providers
Implementing Entity Framework Extensions
Creating Custom Code Generators
Working with Legacy Databases
Module 25: Entity Framework and NoSQL
Module 25: Entity Framework and NoSQL
Introduction to NoSQL Databases
Using Entity Framework with NoSQL
Data Modeling for NoSQL
Real-world NoSQL Integration
Module 26: Entity Framework and Performance Tuning
Module 26: Entity Framework and Performance Tuning
Query Performance Optimization
Database Indexing Strategies
Entity Framework Profiling Tools
Tuning for Large Datasets
Module 27: Entity Framework and Security Best Practices
Module 27: Entity Framework and Security Best Practices
Data Encryption in Entity Framework
Implementing OAuth 2.0
Securing RESTful APIs
Preventing Common Security Vulnerabilities
Module 28: Entity Framework in Enterprise Architectures
Module 28: Entity Framework in Enterprise Architectures
Implementing Entity Framework in Enterprise Solutions
Multi-tenancy Considerations
Data Sharding and Partitioning
High Availability and Disaster Recovery
Module 29: Entity Framework and Big Data
Module 29: Entity Framework and Big Data
Handling Big Data with Entity Framework
Entity Framework in Data Warehousing
Real-time Analytics with Entity Framework
Data Integration in Big Data Ecosystems
Module 30: Entity Framework Capstone Project
Module 30: Entity Framework Capstone Project
Final Project Guidelines
Project Development and Implementation
Presentation and Peer Evaluation
Course Conclusion and Next Steps
Review Request
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