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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.

shiveDocker5.tar.gz

Shive Job

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test job

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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

## What is MongoDB?
MongoDB is a document database that's not relational. It has a flexible data model that allows us to store unstructured data while also supporting full indexing. Many companies, including Sega, Adobe, and Google, now use MongoDB to store a lot of their data.

MongoDB Atlas is a multi-cloud database service that helps deploy and scale a MongoDB cluster in clouds like AWS, Google Cloud, and Microsoft Azure. It's managed by MongoDB.

## Features of MongoDB
Here are a few of MongoDB's features:
-  It stores documents in collections using the Binary JSON (BSON) format. The BSON format allows it to internally index and map document contents, making it extremely easy  to read and write documents effectively and quickly.

- MongoDB indexes BSON documents and supports ad hoc queries with its query language. Ad hoc queries are unknown queries not anticipated when designing the database.  MongoDB makes this simple by allowing for real-time ad hoc queries.

- It's a schema-less and highly adaptable database. When we try to save an object in MongoDB, we don't need to map it to a type; instead, we serialize it into JSON and send it to MongoDB.

- MongoDB uses a method called **sharding** to distribute data among several instances. This assures proper application scaling. Sharding makes it possible to scale horizontally.

- It uses the grid file system to store and retrieve files. This system divides files larger than 16MB into 255KB chunks, except for the final one when a file has to be recovered.



# What is MongoDB?
MongoDB is a document database that's not relational. It has a flexible data model that allows us to store unstructured data while also supporting full indexing. Many companies, including Sega, Adobe, and Google, now use MongoDB to store a lot of their data.

MongoDB Atlas is a multi-cloud database service that helps deploy and scale a MongoDB cluster in clouds like AWS, Google Cloud, and Microsoft Azure. It's managed by MongoDB.

# Features of MongoDB
Here are a few of MongoDB's features:
-  It stores documents in collections using the Binary JSON (BSON) format. The BSON format allows it to internally index and map document contents, making it extremely easy  to read and write documents effectively and quickly.

- MongoDB indexes BSON documents and supports ad hoc queries with its query language. Ad hoc queries are unknown queries not anticipated when designing the database.  MongoDB makes this simple by allowing for real-time ad hoc queries.

- It's a schema-less and highly adaptable database. When we try to save an object in MongoDB, we don't need to map it to a type; instead, we serialize it into JSON and send it to MongoDB.

- MongoDB uses a method called **sharding** to distribute data among several instances. This assures proper application scaling. Sharding makes it possible to scale horizontally.

- It uses the grid file system to store and retrieve files. This system divides files larger than 16MB into 255KB chunks, except for the final one when a file has to be recovered.



Learn the features and operations of MongoDB.

Introduction to MongoDB

Recap of Go Programming

Introduction to Mongo DB

API Guidelines

User Management

Genre Operations

Movie Records

Movie Reviews

Appendix

Wrap Up

Build a Programmer Skill Querying Website with React and Golang

Introduction to MongoDB

What is MongoDB?

Features of MongoDB