This course is about enterprise integration patterns proposed by Apache Camel.

The Camel Enterprise Integration Patterns (EIP) provide the interfaces to communicate with large component-based distributed systems. When designing the best integration solution for message-oriented applications, these patterns help save time and effort.

In this course, you'll learn about all four foundational patterns. You'll be introduced to Error Handling patterns, Deployment patterns, and Configuration patterns. Each pattern is discussed in detail to be used in distinct settings. You'll also gain a deep understanding of how each pattern works under different circumstances, and implement them appropriately when necessary using real-world examples to illustrate the design specifics. Camel EIPs offer advantages over traditional frameworks such as REST or SOAP regarding integration problems within an organization.

By the end of this course, you'll have hands-on practice with valuable interfaces and the simplification processes for integrating applications across an organization's services.

Using Apache Camel with Enterprise Integration Patterns

## Intent

This pattern decouples read from write operations to allow them to evolve independently. CQRS is also known as R**ead versus Write Services** or the **Command Query Separation pattern**.

## Context and problem

Quite often, services that deal with persistence are designed to provide CRUD operations. Regardless of the transport mechanism or technology, a service would have one data model and provide, create, read, update, and delete operations for that model. The operations can then be easily mapped to a REST-style interaction, and, for example, the persistence can be implemented with very little coding using an #key# ORM: Object-Relational Mapping #key# tool such as Hibernate.


# Intent

This pattern decouples read from write operations to allow them to evolve independently. CQRS is also known as R**ead versus Write Services** or the **Command Query Separation pattern**.

# Context and problem

Quite often, services that deal with persistence are designed to provide CRUD operations. Regardless of the transport mechanism or technology, a service would have one data model and provide, create, read, update, and delete operations for that model. The operations can then be easily mapped to a REST-style interaction, and, for example, the persistence can be implemented with very little coding using an #key# ORM: Object-Relational Mapping #key# tool such as Hibernate.


Learn the Command Query Responsibility Segregation design pattern and its usage.

About This Course

Foundational Patterns

Error Handling Patterns

Deployment Patterns

Conclusion

Command Query Responsibility Segregation (CQRS) Pattern

Intent

Context and problem