Chapter 1: Introduction to Modern JavaScript and TypeScript
- 1.1 Evolution of JavaScript
- 1.2 Core Concepts Refresher
- 1.3 Object-Oriented Programming in JavaScript
- 1.4 Introduction to Design Patterns
Chapter 2: Creational Design Patterns
- 2.1 Singleton Pattern
- 2.2 Factory Pattern
- 2.3 Builder Pattern
- 2.4 Prototype Pattern
Chapter 3: Structural Design Patterns
- 3.1 Adapter Pattern
- 3.2 Decorator Pattern
- 3.3 Facade Pattern
- 3.4 Proxy Pattern
Chapter 4: Behavioral Design Patterns
- 4.1 Observer Pattern
- 4.2 Strategy Pattern
- 4.3 Command Pattern
- 4.4 Iterator Pattern
Chapter 5: Structural Design Patterns (Continued)
- 5.1 Composite Pattern
- 5.2 Flyweight Pattern
- 5.3 Bridge Pattern
- 5.4 Module Pattern
Chapter 6: Behavioral Design Patterns (Continued)
- 6.1 Chain of Responsibility Pattern
- 6.2 Mediator Pattern
- 6.3 Memento Pattern
- 6.4 Visitor Pattern
Chapter 7: Advanced Asynchronous Patterns
- 7.1 Deep Dive into Promises
- 7.2 Advanced Async/Await Techniques
- 7.3 Advanced Patterns with Async Iterators and Generators
- 7.4 Cancellation and Abortable Operations
Chapter 8: Functional Design Patterns
- 8.1 Introduction to Functional Programming Concepts
- 8.2 Functional Design Patterns in JavaScript
- 8.3 Functional Programming in TypeScript
- 8.4 Functional Design Patterns Applied
Chapter 9: Reactive Programming Patterns
- 9.1 Introduction to Reactive Programming
- 9.2 Reactive Programming with RxJS
- 9.3 Reactive Patterns in User Interface Development
- 9.4 Advanced Reactive Patterns and Best Practices
Chapter 10: Metaprogramming and Reflection
- 10.1 Understanding Metaprogramming in JavaScript and TypeScript
- 10.2 Advanced Metaprogramming Techniques
- 10.3 Decorators and Metadata Reflection in TypeScript
- 10.4 Generics and Advanced Type Manipulation in TypeScript
Chapter 11: Patterns for Testing and Quality Assurance
- 11.1 Introduction to Testing in Modern JavaScript and TypeScript
- 11.2 Test-Driven Development (TDD) with Design Patterns
- 11.3 Mocking, Stubbing, and Test Doubles
- 11.4 Testing Design Patterns in Practice
Chapter 12: Performance Optimization Patterns
- 12.1 Understanding Performance Optimization
- 12.2 Code-Level Optimization Patterns
- 12.3 Application-Level Optimization Patterns
- 12.4 Scalability and Load Management Patterns
Chapter 13: Security Patterns in Modern Applications
- 13.1 Introduction to Security in Software Design
- 13.2 Authentication and Authorization Patterns
- 13.3 Input Validation and Data Sanitization Patterns
- 13.4 Secure Communication and Data Protection
Chapter 14: Microservices and Distributed Systems Patterns
- 14.1 Introduction to Microservices Architecture
- 14.2 Design Patterns for Microservices
- 14.3 Deployment and Operational Patterns
- 14.4 Data Management and Consistency
Chapter 15: Blockchain Design Patterns
- 15.1 Introduction to Blockchain Technology
- 15.2 Blockchain Architectural Patterns
- 15.3 Smart Contract Design Patterns
- 15.4 Security Patterns and Best Practices
Chapter 16: Artificial Intelligence Design Patterns
- 16.1 Introduction to AI Integration in Software Systems
- 16.2 Data Management and Preprocessing Patterns
- 16.3 Model Development and Deployment Patterns
- 16.4 Ethical AI Design Patterns
Appendix A: Interview Questions and Answers
- A.1 General Concepts
- A.2 Creational Design Patterns
  - A.2.1 Singleton Pattern
  - A.2.2 Factory Pattern
- A.3 Structural Design Patterns
  - A.3.1 Decorator Pattern
  - A.3.2 Proxy Pattern
- A.4 Behavioral Design Patterns
  - A.4.1 Observer Pattern
  - A.4.2 Strategy Pattern
- A.5 Advanced Topics
  - A.5.1 TypeScript Advanced Types and Generics
  - A.5.2 Asynchronous Programming Patterns
Appendix B: Glossary of Terms
Appendix C: Additional Resources
Appendix D: Code Samples and Exercises

14.4 Data Management and Consistency

In this section

Database Per Service Pattern: Microservices Data Management
Explore the Database Per Service Pattern in microservices architecture, focusing on encapsulation, independent scaling, data consistency, and more.
Event Sourcing and CQRS Patterns: Revolutionizing Data Management in Microservices
Explore the intricacies of Event Sourcing and CQRS patterns in microservices, focusing on data consistency, auditability, and scalability. Learn implementation strategies, challenges, and best practices.
Data Consistency and Transactions: Ensuring Integrity in Distributed Systems
Explore the complexities of maintaining data consistency in distributed systems, the differences between eventual and strong consistency, and the use of distributed transactions. Learn about two-phase commit, compensating transactions, and designing idempotent operations for microservices.
Handling Distributed Queries and Reporting in Microservices
Explore the complexities and strategies for managing distributed queries and reporting in microservices architectures. Learn about data aggregation, ETL processes, and best practices for maintaining data consistency and performance.

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14.3 Deployment and Operational Patterns

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14.4 Data Management and Consistency

In this section