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Gain insights into building robust APIs with Go and MongoDB. Learn about CRUD operations, authentication, integration, and enhance your skills with practical examples and hands-on exercises.

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API Development in Go using MongoDB is a comprehensive course that focuses on building robust application programming interfaces (APIs) using the Go programming language and MongoDB as the underlying database.

The course is structured in a sequential manner to provide a step-by-step understanding of API development in Go using MongoDB. You’ll be introduced to Go programming, integrating MongoDB with Go, designing and implementing CRUD operations, and handling authentication and authorization. Practical examples and hands-on exercises are provided, throughout the course, to reinforce the concepts and enhance the learning experience.

After completing this course, you’ll gain hands-on knowledge of the Go programming language and MongoDB, as well as proficiency in API development. Overall, this course provides a solid foundation for individuals aspiring to excel in API development using the Go programming language and MongoDB.

API Development in Go Using MongoDB

# Deciding which database to use
The decision of which database to use depends on the data structure. If we have structured data, SQL is the way to go.  However, if we have flexible or large amounts of data and need to deliver a real-time experience, NoSQL is the way to go.

## Scalability and flexibility
NoSQL databases are scalable and flexible and adhere to the BASE (Basic availability, Soft-state, Eventual consistency) consistency model. SQL is an excellent choice if the data is highly structured and [ACID (Atomicity, Consistency, Isolation, and Durability)](https://www.educative.io/answers/what-are-acid-properties-in-a-database) compliance is required.
If the data is well-structured and organized, querying it with an SQL database is very efficient. Querying data in a NoSQL database is not as efficient as querying in a SQL database due to potential differences in the data structures. Databases can be scaled [vertically or horizontally](https://www.educative.io/answers/horizontal-vs-vertical-scaling).


SQL databases are difficult to scale because they run on a single server to ensure data integrity. When we try to scale them, we must do so vertically.

NoSQL databases scale horizontally, and this makes scaling very easy. NoSQL contains objects that can be stored on multiple servers without being linked.


Learn when to use SQL and when to use NoSQL.

Comparing SQL and NoSQL

Recap of Go Programming

Introduction to Mongo DB

API Guidelines

User Management

Genre Operations

Movie Records

Movie Reviews

Appendix

Wrap Up

Comparing SQL and NoSQL

Deciding which database to use

Scalability and flexibility