MongoDB with Java Spring Boot & Spring Framework from Udemy

What's inside

Learning objectives

You will learn mongodb which is most widely used nosql database
You will learn crud ( created, read, update and delete ) operations in mongodb
You will learn to implement pagination and sorting in mongodb
You will learn and, or, in, like and starts with query in mongodb
You will learn crud ( created, read, update and delete ) operations with spring data mongodb

You will learn to implement pagination and sorting in mongodb with spring data mongodb
You will learn and, or, in, like and starts with query in mongodb with spring data mongodb
You will learn to deploy spring boot app as jar packaging to pivotal cloud foundry along with mongodb using mlab
You will learn to write native mongodb with spring data mongodb
You will learn mongodb with java.

You will learn mongodb which is most widely used nosql database
You will learn crud ( created, read, update and delete ) operations in mongodb
You will learn to implement pagination and sorting in mongodb
You will learn and, or, in, like and starts with query in mongodb
You will learn crud ( created, read, update and delete ) operations with spring data mongodb
You will learn to implement pagination and sorting in mongodb with spring data mongodb
You will learn and, or, in, like and starts with query in mongodb with spring data mongodb
You will learn to deploy spring boot app as jar packaging to pivotal cloud foundry along with mongodb using mlab
You will learn to write native mongodb with spring data mongodb
You will learn mongodb with java.

Syllabus

This section is about performing Create, Read, Update and Delete Operations In MongoDB. You will learn to write AND, OR, IN queries in MongoDB. You will learn to execute MongoDB queries from terminal.

This lecture is basically an introduction to course "MongoDB With Spring Boot".

In this lecture you will understand what is MongoDB (NoSQL) Database. Its kind of introduction to MongoDB.

In this lecture you will learn difference between SQL and NoSQL Database. You might be aware of traditional SQL databases like MySQL, MsSQL, Oracle etc. So this lecture will show you difference between SQL and NoSQL Database.

In this lecture you will understand different MongoDB terms like collection, document etc. If you are coming from SQL databases background then you will understand MongoDB terms by taking reference of SQL database terms like table, column etc.

In this lecture you will learn to install MongoDB in your machine. You will be driven to from downloading MongoDB set up to installing it and running in your local machine ( local computer ).

Every database needs some UI tool to perform CRUD and other operations. We will use Studio3T to manage MongoDB database in our local machine. This lecture will guide you about installing Stuido3T which is UI tool for managing MongoDB.

In this lecture you will learn to create database in MongoDB.

After having database in MongoDB the next step is to create collection inside the database. This lecture will make you understand how to create your very first collection in MongoDB.

After having collection in MongoDB the next step is to have some records inside it and that is referred as document in MognoDB terminology. Basically Create operation from CRUD.

Once we have some records (documents) inside our collection then our next step is to read that document. Basically Read operation from CRUD.

This lecture will show you how to write AND and OR query in MongoDB in JSON format.

This lecture will show you how to write IN query in MongoDB using JSON.

After learning to create and read documents in MongoDB the next step is updating the document. Basically Update operation from CRUD. So this lecture will make you understand how to update document in MongoDB ?

After learning to create, read and update documents in MongoDB the next step is to delete document in MongoDB. Basically Delete operation from CRUD. So this lecture will make you understand how to delete document in MongoDB ?

This lecture will show you how to write find query in MongoDB ?

You can run MongoDB queries from terminal (command prompt) as well. We have used Studio3T UI tool in this course but we can also write and execute queries from terminal as well. So this lecture will show you how to execute MongoDB queries from terminal without need of any UI tool.

In this lecture we will create our Spring Boot Project so that we can see how to use MongoDB with Spring Boot.

After having Spring Boot Application the next step is to have mapping of entity class with MongoDB collection. This includes mapping of fields with variables inside Entity Class.

In this lecture we will create Mongo Repository in our Spring Boot App. Like JPA Repository we have Mongo Repository to interact with MongoDB database using our Spring Boot Application.

This lecture will make you understand how to create document in MongoDB from Spring Boot Application using Mongo Repository and http POST REST API. Basically Create Operation from CRUD.

This lecture will make you understand how to Read document in MongoDB from Spring Boot Application using Mongo Repository and http GET REST API. Basically Read Operation from CRUD.

This lecture will make you understand how to Read all documents of particular collection in MongoDB from Spring Boot Application using Mongo Repository and http GET REST API. This is getting all records of particular collection in MongoDB.

This lecture will make you understand how to Update document in MongoDB from Spring Boot Application using Mongo Repository and http PUT REST API. Basically Update Operation from CRUD.

This lecture will make you understand how to Delete document in MongoDB from Spring Boot Application using Mongo Repository and http DELETE REST API. Basically Delete Operation from CRUD.

In this lecture you will learn to write findBy Query. You will learn to find documents by particular field of collection.

In this lecture you will learn to write AND Query using Mongo Repository in your Spring Boot Application.

In this lecture you will learn to write OR Query using Mongo Repository in your Spring Boot Application.

This lecture will make you understand what is pagination and concept to achieve pagination in any application using any database. Be it SQL or NoSQL.

In this lecture you will learn to implement pagination using Mongo Repository in your Spring Boot Application. This is very helpful when you have millions of documents inside your collection.

In this lecture you will learn to sort documents in ascending and descending order using MongoRepository in your Spring Boot Application.

When you have document inside another document it is called as sub document. In this lecture you will learn to query by fields of sub document using Mongo Repository in your Spring Boot Application.

When you have document inside another document it is called as sub document. In this lecture you will learn to query by array field of sub document using Mongo Repository in your Spring Boot Application.

In this lecture you will learn to write LIKE Query using Mongo Repository in your Spring Boot Application. This is kind of contains query as well you can say.

In this lecture you will learn to write Starts With Query using Mongo Repository in your Spring Boot Application.

If you do not want to map some of your Entity Class variables to fields of collection then you can use @Transient annotation provided by Spring Data. This lecture will demonstrate you on how to use @Transient annotation in Entity Class.

This is an introduction lecture for section on what we are going to do in this section with Pivotal Cloud Foundry (PCF)

In this lecture you will learn to create an account on Pivotal Cloud Foundry (PCF) which is Platform As A Service Cloud Provider.

After having Account on Pivotal Cloud Foundry (PCF) the next step is to have MongoDB on cloud using mLab. So in this lecture you will learn how to get MongoDB on cloud.

After getting MongoDB on cloud using mLab the next step is to upload our local MonfoDB database to cloud MongoDB. This is very important as we are going to have everything on cloud including our Spring Boot Application as well. So this lecture will show you all this.

After setting up MongoDB on cloud the final step is to deploy our Spring Boot Application on Cloud and that is Pivotal Cloud Foundry (PCF)

In SQL we have parent-child relationships using concept of foreign key. In the same way we can have reference to other collections from one collection. Relationship between two collections is not recommended in NoSQL databases like MongoDB but still this lecture will make you understand that.

To have relationships between two collections first we need to modify our existing database.

In this lecture you will learn to define relationships between two collections in Entity Class using Spring Data MongoDB.

When you are getting parent record then you have choice to get all child records from that or NOT. For that Lazy loading is being used so in this lecture you will understand what is lazy loading ?

In this lecture you will learn to create document of collection which has reference to another collection. In this lecture you will learn to create document in collection using Mongo Repository.

In this lecture you will learn how to get documents from parent collection by querying through fields of sub document with reference.

Though it is not recommended to write native MongoDB queries when using Spring Data MongoDB in Spring Boot Application but for your reference in this lecture you will learn to write native MongoDB query using Mongo Repository in Spring Boot Application.

This is bonus lecture where you will get discount COUPONS for all my courses.

Thanks for taking this MongoDB With Spring Boot Course. Try to implement what you learned from this course and do not forgot to leave your valuable feedback for this course.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers Spring Boot, a framework in high demand among Java developers, making it highly relevant for those in the Java ecosystem

Explores MongoDB, a widely used NoSQL database, which is valuable for developers working with diverse data storage solutions

Teaches deployment to Pivotal Cloud Foundry (PCF), offering practical experience with cloud platforms and database-as-a-service (DBaaS) like mLab

Includes coverage of Spring Data MongoDB, which helps Java developers integrate MongoDB into Spring Boot applications

Features MongoDB Compass, an official UI tool, which is useful for developers who prefer a graphical interface for database management

Includes coverage of MongoDB server 4.4.5, which may not be the latest version, so learners should check for compatibility with newer releases

Reviews summary

Mongodb and spring boot integration

According to learners, this course provides a clear introduction to MongoDB and its practical integration with Java Spring Boot using Spring Data. Many find the hands-on examples and practical approach particularly valuable for real-world application, especially for essential operations like CRUD, querying, pagination, and sorting. The course also includes sections on UI tools like Studio 3T and Compass, and cloud deployment options which students appreciate. While largely positive, some learners feel certain aspects of the Spring Boot integration could benefit from more depth or complex examples. The course content appears to be periodically updated, contributing to its relevance.

Course content is periodically updated.

"April 2021 - Course Updated with latest version of MongoDB and MongoDB Compass UI Tool."

"Update On Pivotal Cloud Foundry"

"Mongodb Atlas & Spring Boot Deployment to Heroku (Cloud Platform)"

Includes sections on deploying to cloud platforms.

"You will Learn To Deploy Spring Boot App as Jar packaging to Pivotal Cloud Foundry..."

"Mongodb Atlas & Spring Boot Deployment to Heroku (Cloud Platform)"

Guidance on using tools like Studio 3T/Compass.

"You will Learn MongoDB with Studio 3T UI Connector..."

"MongoDB Compass is an official UI tool to execute queries and you will earn that as well..."

Well-organized with useful, relevant content.

"Excellent course so far, it has valuable content, good topic organization and useful tools taught."

Concepts are explained clearly and simply.

"I really like the way you explained everything. Thank you so much for your clear elaborations."

"Very helpful course for basic intro into SpringData with MongoDb."

"Good course to learn MongoDB with Spring Boot"

"I found the explanations very easy to follow."

Essential CRUD, query, pagination, sorting covered.

"You will Learn CRUD ( Created, Read, Update and Delete ) Operations in MongoDB..."

"You will Learn to implement Pagination and Sorting in MongoDB..."

"Covers the fundamental operations needed for most applications."

Course focuses on integrating MongoDB with Spring Boot.

"Very helpfull course for basic intro into SpringData with MongoDb."

"Good course to learn MongoDB with Spring Boot"

"Teaches practical use cases for combining technologies."

"Exactly what I needed to start using MongoDB with Spring Boot."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in MongoDB with Java Spring Boot & Spring Framework with these activities:

Review Core Java Concepts

Show steps

Strengthen your understanding of core Java concepts like object-oriented programming, data structures, and algorithms. This will provide a solid foundation for working with Spring Boot and MongoDB.

Show steps

Review Java syntax and data types.
Practice object-oriented programming principles.
Work through basic Java coding exercises.

Review 'Spring Boot in Action'

Show steps

Gain a deeper understanding of Spring Boot concepts and best practices. This book will help you build robust and scalable applications using Spring Boot and related technologies.

View Spring in Action, Sixth Edition on Amazon

Show steps

Read the chapters related to data access and MongoDB integration.
Experiment with the code examples provided in the book.
Try to apply the concepts learned to a small personal project.

Practice CRUD Operations with MongoDB

Show steps

Reinforce your understanding of CRUD operations in MongoDB. This will help you become more proficient in interacting with MongoDB databases using Java and Spring Boot.

Show steps

Set up a local MongoDB instance.
Create a sample database and collection.
Implement CRUD operations using the MongoDB shell or a UI tool like Studio 3T.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a Blog Post on Spring Data MongoDB

Show steps

Solidify your knowledge of Spring Data MongoDB by explaining its features and benefits in a blog post. This will help you articulate your understanding and share your knowledge with others.

Show steps

Research Spring Data MongoDB and its key features.
Write a clear and concise blog post explaining how to use Spring Data MongoDB.
Include code examples to illustrate the concepts.
Publish the blog post on a platform like Medium or your personal website.

Build a REST API with Spring Boot and MongoDB

Show steps

Apply your knowledge of Spring Boot and MongoDB to build a practical REST API. This will give you hands-on experience with designing, implementing, and deploying a real-world application.

Show steps

Design the API endpoints and data models.
Implement the API using Spring Boot and Spring Data MongoDB.
Test the API using tools like Postman or curl.
Deploy the API to a cloud platform like Heroku or AWS.

Review 'MongoDB: The Definitive Guide'

Show steps

Gain a comprehensive understanding of MongoDB's features and capabilities. This book will help you design efficient data models and write optimized queries for your Spring Boot applications.

View MongoDB on Amazon

Show steps

Read the chapters related to data modeling and query optimization.
Experiment with the MongoDB shell and try out different query techniques.
Apply the concepts learned to improve the performance of your Spring Boot applications.

Contribute to a Spring Boot MongoDB Project

Show steps

Deepen your understanding of Spring Boot and MongoDB by contributing to an open-source project. This will give you valuable experience working with a team and solving real-world problems.

Show steps

Find an open-source Spring Boot MongoDB project on GitHub.
Identify a bug or feature that you can contribute to.
Fork the repository and make your changes.
Submit a pull request with your changes.

Career center

Learners who complete MongoDB with Java Spring Boot & Spring Framework will develop knowledge and skills that may be useful to these careers:

Backend Developer

A backend developer builds and maintains the server-side logic and databases powering applications, and knowledge of MongoDB is crucial for many roles. This course provides a thorough introduction to MongoDB, a widely-used NoSQL database, and teaches how to use it with Java Spring Boot applications. A backend developer often works with data storage and retrieval, so the course's content on CRUD operations, pagination, sorting, and querying directly translates to daily tasks. The hands-on approach, using both the Studio 3T UI and Spring Data MongoDB, helps build a strong foundation for backend development. Furthermore, the course also covers cloud deployment, which is an increasingly important area for backend developers.

See salaries and explore the career path for Backend Developer

Database Engineer

A database engineer is responsible for the design, implementation, and maintenance of databases, which makes a deep understanding of MongoDB very relevant. This course is an excellent starting point, as it covers the core of MongoDB, including its installation and query language. A database engineer will use this skill in day-to-day job tasks. The course also explores advanced topics like pagination, sorting, and native MongoDB queries, which are all critical for efficient database management. The integration with Spring Boot and cloud deployment further adds to the practical skills a database engineer needs. The depth that this course covers makes it a valuable resource for anyone looking to work with databases.

See salaries and explore the career path for Database Engineer

Java Developer

A Java developer builds software applications using the Java language. This course is particularly useful for a Java developer who needs to work with NoSQL databases such as MongoDB utilizing the Spring framework. Because the course teaches how to integrate MongoDB with Spring Boot, a Java developer will learn practical skills to develop database-driven applications. The course covers essential database operations like CRUD and complex queries, which are commonly performed by a Java developer. The training on cloud deployment and Pivotal Cloud Foundry is an added bonus and makes the course especially relevant to a modern Java developer.

See salaries and explore the career path for Java Developer

Software Engineer

A software engineer designs, develops, and maintains software systems, making knowledge of databases such as MongoDB extremely valuable. This course provides a practical introduction to MongoDB, covering everything from basic CRUD operations to more advanced topics like pagination, sorting, and native queries. A software engineer will often work with databases in their projects. The course's focus on integrating MongoDB with Spring Boot and deploying applications to the cloud offers real world skills and practices. The inclusion of tools like Studio 3T and MongoDB Compass will improve the process and workflow of the software engineer.

See salaries and explore the career path for Software Engineer

Application Developer

An application developer designs and builds software applications. This course directly supports an application developer by providing the skills to work with MongoDB and Spring Boot. The course gives an overview of how to perform basic database operations as well as more advanced tasks using Spring Data MongoDB. An application developer will be able to make use of the skills they learn in this course to create robust and scalable applications. The training with cloud deployment on Pivotal Cloud Foundry and use of mLab is also very much aligned to the tasks of an application developer.

See salaries and explore the career path for Application Developer

Cloud Engineer

A cloud engineer is responsible for designing, building, and maintaining cloud infrastructure. This course may be useful because it covers the deployment of Spring Boot applications to Pivotal Cloud Foundry and uses mLab for MongoDB on the cloud. A cloud engineer will benefit from the course by gaining hands-on experience with cloud-based database solutions. The content on deploying applications to the cloud will give a good look into the practices needed to be a cloud engineer. The course also explores the integration of cloud-based MongoDB with Spring Boot applications, which can be useful knowledge for cloud engineers.

See salaries and explore the career path for Cloud Engineer

Data Engineer

A data engineer builds and maintains data pipelines and infrastructure, often working with NoSQL databases such as MongoDB. While this course may be useful, it focuses on the use of MongoDB with Java and Spring Boot, and does not cover all aspects of data engineering. A data engineer will find the course helpful in that it introduces them to a common NoSQL database. The content on CRUD operations, advanced queries, and integration with Java Spring applications provides a practical understanding that a data engineer can use. The practical skills learned in developing end to end applications in the course can be valuable.

See salaries and explore the career path for Data Engineer

Systems Architect

A systems architect designs the structure and organization of computer systems, and a broad understanding of database systems such as MongoDB is crucial for this role. This course may be useful in that it provides a practical introduction to MongoDB and its integration with Java Spring Boot. A systems architect will be able to take away knowledge about how to use this database and integrate it into the larger system. The course’s coverage of cloud deployment and working with mLab can be especially relevant for a systems architect working with modern technologies. The hands-on approach, especially with Studio 3T and MongoDB Compass, could also be helpful for a systems architect who needs a practical understanding.

See salaries and explore the career path for Systems Architect

Solutions Architect

A solutions architect designs and oversees the implementation of technology solutions, and needs to understand the capabilities of various databases like MongoDB. This course may be useful for a solutions architect, because it provides an understanding of MongoDB and how it is deployed in Spring Boot applications. A solutions architect will find that the course provides practical examples to help with system design. The course covers the basics and more advanced topics like cloud deployment, which will help with designing modern tech solutions. The material focused on the practical aspects of database integration and cloud deployment, could prove to be very relevant to a solutions architect.

See salaries and explore the career path for Solutions Architect

Software Architect

A software architect makes high-level design choices for software systems. This course may be useful, as it offers a deep understanding of MongoDB and its integration with Java Spring Boot. A software architect needs a practical understanding of how a database functions, which this course provides. The course will help the software architect with system design, and the advanced topics, like native queries and cloud deployment, will prove to be very useful. The hands on experience with the tools and systems is key to understanding how a database fits in with larger system architecture.

See salaries and explore the career path for Software Architect

Data Analyst

A data analyst interprets data to identify trends and patterns. This course may be useful for a data analyst, because it teaches how to query MongoDB. While the course focuses on using MongoDB with Java Spring Boot, a data analyst will be able to learn the underlying query methods which can be applied to data analysis. The course covers CRUD operations, pagination, sorting, and various types of queries. The course provides good practical skills that a data analyst may find valuable. A data analyst who needs an understanding of NoSQL databases like MongoDB may find the course useful.

See salaries and explore the career path for Data Analyst

Technical Consultant

A technical consultant provides expert advice on technology solutions. This course may be useful because it provides foundational knowledge of MongoDB and its integration with Java Spring Boot. A technical consultant may find the course helpful as they learn about the practical implementation of database technologies. The course’s coverage of key concepts, like CRUD operations, and cloud deployment, will provide technical consultants valuable insights into current technology and the development process. The course may provide a foundation for a technical consultant to understand the technology landscape.

See salaries and explore the career path for Technical Consultant

Technical Support Engineer

A technical support engineer helps users troubleshoot technical issues. This course may be useful if the technical support engineer works with applications using MongoDB. The course will give a technical support engineer an overview of MongoDB, its query structure, and how it works with Spring Boot. The understanding from this course may help in some troubleshooting scenarios. The training on the cloud deployment could also be valuable for a technical support engineer who deals with deployments.

See salaries and explore the career path for Technical Support Engineer

Project Manager

A project manager oversees and coordinates software development projects. This course may be useful for a project manager because it provides a view of database technologies like MongoDB. A project manager might find the course helpful in understanding the technology that their development teams use. This knowledge may improve communication with the team and enable better project management. The course includes many details on all the processes related to MongoDB, which may be useful to a project manager who is looking for an overview of the technology.

See salaries and explore the career path for Project Manager

Product Manager

A product manager is responsible for the strategy, roadmap, and feature definition of a product or product line. This course may be useful because it provides a technical overview of how MongoDB is used in development. A product manager may find this useful, especially if their products use this database. The course covers many aspects of database management, from CRUD operations to cloud deployment, which could help a product manager better understand how their products are built. This course is an introduction to the technology process and landscape.

See salaries and explore the career path for Product Manager

MongoDB with Java Spring Boot & Spring Framework

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Mongodb and spring boot integration

Activities

Career center

Reading list

Share

Similar courses