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$29
What you'll learn?
- Master the MongoDB
- Integrate MongoDB with Spring boot 3.0
- Integrate OpenApi with Spring boot 3.0 and MongoDB
- Write advance search queries
Course Overview
Learning Spring Boot and MongoDB can be extremely valuable for students looking to gain skills in modern web development and data storage.
Here is why you need to learn and master these two technologies
-
Spring Boot is a popular framework for building Java-based web applications. It makes it easy to create stand-alone, production-grade Spring-based applications that you can "just run". This means that you can quickly get up and running with a new project and start building their application without having to spend time on configuration.
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MongoDB is a leading NoSQL database that is widely used in modern web applications. It is a flexible, scalable, and high-performance database that can handle large amounts of data. By learning MongoDB, you will be able to build applications that can store and manage large amounts of data efficiently.
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Together, Spring Boot and MongoDB form a powerful stack for building modern web applications. By learning both technologies, students will be able to build full-stack applications that can handle both the front-end and back-end aspects of web development.
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There is high demand for developers with skills in Spring Boot and MongoDB. Companies of all sizes are looking for developers who can build modern web applications using these technologies, so learning them can open up new career opportunities for students.
Overall, learning Spring Boot and MongoDB can be a great investment for students looking to gain valuable skills in modern web development and data storage.
By purchasing a course on these technologies, you can learn from experienced instructor and get the support and guidance you need to succeed.
Pre-requisites
- Student
- Junior developers
Target Audience
- Basic Java knowledge
Curriculum 64 Lectures 02:37:19
-
Section 1 : Introduction
- Lecture 2 :
- The difference between sql and nosql
- Lecture 3 :
- How to choose between sql and nosql
-
Section 2 : Prepare the Mongo Environment
- Lecture 1 :
- MongoDB UI Tools
- Lecture 2 :
- Why using docker for development
- Lecture 3 :
- Create empty docker compose
- Lecture 4 :
- Mongo Server (Docker Compose)
- Lecture 5 :
- Mongo express (Docker compose)
- Lecture 6 :
- Run and test
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Section 3 : Mongo Teams
- Lecture 1 :
- Collections and documents in Mongo
-
Section 4 : Bootstrapping the application
- Lecture 1 :
- Create a new Spring boot 3.0 project
- Lecture 2 :
- Project structure
- Lecture 3 :
- Include the docker compose with the project and run it
- Lecture 4 :
- Project architecture
- Lecture 5 :
- Connect to MongoDB
- Lecture 6 :
- Create a new database
- Lecture 7 :
- Understand Admin - Local and Config databases
- Lecture 8 :
- Create a java class
- Lecture 9 :
- Transform the java class to a Collection
- Lecture 10 :
- Create a mongo repository
- Lecture 11 :
- Insert the first data into the Collection
- Lecture 12 :
- Create a product service
- Lecture 13 :
- Save the product
- Lecture 14 :
- Find product by ID
- Lecture 15 :
- Find all products
- Lecture 16 :
- Delete product
-
Section 5 : CRUD operations
- Lecture 1 :
- Create product Controller
- Lecture 2 :
- Save product operation
- Lecture 3 :
- Find all products
- Lecture 4 :
- Find product by ID
- Lecture 5 :
- Delete product
- Lecture 6 :
- Test the CRUD operations
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Section 6 : DBRef and Collections relationships
- Lecture 1 :
- Extend the product model
- Lecture 2 :
- Create Category java class
- Lecture 3 :
- User Category as a field
- Lecture 4 :
- Relationship between Category and Product
- Lecture 5 :
- Transform the Category to a collection
- Lecture 6 :
- Create a category repository
- Lecture 7 :
- Insert categories at startup
- Lecture 8 :
- The issue in linking collections
- Lecture 9 :
- Add relationship between collections
-
Section 7 : OpenApi integration
- Lecture 1 :
- Add OpenApi dependency
- Lecture 2 :
- Test and play with Swagger UI
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Section 8 : Document Queries and 8- Mongo Template Queries
- Lecture 1 :
- Extend the product model
- Lecture 2 :
- Create a search service
- Lecture 3 :
- What is MongoTemplate
- Lecture 4 :
- Is() query
- Lecture 5 :
- Testing the Is() query
- Lecture 6 :
- Regex() query
- Lecture 7 :
- Lt() query
- Lecture 8 :
- Gt() query
- Lecture 9 :
- Sorting data
- Lecture 10 :
- Paging and Sorting
-
Section 9 : Query Method
- Lecture 1 :
- Create a query method service
- Lecture 2 :
- FindByX query
- Lecture 3 :
- FinByX ignore case query
- Lecture 4 :
- FinByX starting with query
- Lecture 5 :
- FinByX ending with query
- Lecture 6 :
- FinByX containing query
- Lecture 7 :
- FinByX less than
- Lecture 8 :
- FinByX greater than
- Lecture 9 :
- FinByX between
- Lecture 10 :
- FinByX and SortByY
- Lecture 11 :
- Paging and Sorting
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Instructor
1261 Course Views
5 Courses
As a software developer with over a decade of experience, I have had the opportunity to work on a diverse range of projects for various companies, which has allowed me to gain expertise in technologies such as Java, Spring Boot, Hibernate, and AWS. These skills have contributed to my growth as a senior software engineer.
What drives me to excel in my field is my fascination with how different programming languages can come together to form a cohesive ecosystem, despite their fundamental differences. The technical stack is what truly excites me, and I am always eager to learn and improve
In addition to my own personal growth, I have a desire to share my expertise with others. That is why I have created a YouTube channel and personal website where I publish videos and courses aimed at helping others gain a deeper understanding of software development. No matter how many years I have been in this field, I am always looking for ways to learn, and I hope to inspire others to do the same.
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