MongoDB Masterclass: Excel in NoSQL & Pass Certification! from Udemy

Unlock the Power of MongoDB: The Comprehensive NoSQL Database Course

Are you ready to embark on an exciting journey towards mastering MongoDB? Look no further. This comprehensive course covers everything you need to know about MongoDB, from the basics to advanced applications, making you a MongoDB expert in no time.

Our course is unique because it teaches you how to use MongoDB with different programming languages, such as C#, Java, Python, and Node.js. This hands-on masterclass covers all topics required for the MongoDB Associate Developer Certification Exam, giving you the best possible preparation for success.

Throughout the course, you'll dive into MongoDB's architecture, learn how drivers serve as interfaces for various programming languages, and explore the differences between NoSQL and SQL/Relational databases. You'll also master the art of writing efficient and complex queries using the Mongo Shell, and execute CRUD operations in diverse scenarios and options.

Gain practical experience in crafting advanced queries using Query Operators, embedded documents, Arrays, and Projections. You'll learn how to perform update operations with various query operators and utilize MongoDB Compass for seamless interaction with MongoDB.

Furthermore, you'll study Data Modelling, MongoDB database modeling, and best practices, while understanding the differences between Embedded and Linked documents, and when to use each. You'll analyze relationships and patterns in MongoDB, and master Aggregations by working with different stages in Aggregation.

Your journey doesn't end there. You'll improve performance through Indexing and learn how to evaluate query performance in MongoDB. Discover the world of Indexes, their role in query optimization, and how to perform CRUD operations with them. By the end of the course, you'll have the skills to work with cloud-based databases using MongoDB Atlas, deploying and connecting to remote databases.

This course requires no prior knowledge, just a computer or laptop and an internet connection. It's perfect for anyone interested in building production-grade web applications using MongoDB as the database or developers aiming to pass the MongoDB official developer certification exam.

Taught by an experienced entrepreneur, our learn-by-doing approach minimizes theory and focuses on practical examples. Unlock your potential and gain the necessary knowledge and skills to pass the official MongoDB Associate Developer Exam.Become a MongoDB Developer and start creating applications in Java, C#, Node.js, and Python using MongoDB today.

What's inside

Learning objectives

Comprehend mongodb architecture, data modeling techniques, and fundamental principles of nosql databases.
Apply crud operations, advanced queries, and aggregation pipelines to effectively manage data in mongodb.
Optimize database performance using indexing strategies and improve query execution within mongodb.

Integrate mongodb with programming languages such as java, python, c#, and node js for streamlined application development.
Implement mongodb atlas for managing and deploying cloud-based databases with hands-on experience.
Prepare for and successfully pass the official mongodb associate developer certification exam.

Comprehend mongodb architecture, data modeling techniques, and fundamental principles of nosql databases.
Apply crud operations, advanced queries, and aggregation pipelines to effectively manage data in mongodb.
Optimize database performance using indexing strategies and improve query execution within mongodb.
Integrate mongodb with programming languages such as java, python, c#, and node js for streamlined application development.
Implement mongodb atlas for managing and deploying cloud-based databases with hands-on experience.
Prepare for and successfully pass the official mongodb associate developer certification exam.

Syllabus

Installation and setup

Introduction to the course

Getting the best out of this course

Before Installing MongoDB

Installing Mongo on Windows

Installing Mongo on Mac

MongoDB Introduction

Section Introduction

What is a database and why do we need it?

What is MongoDB and its benefits?

NoSQL vs SQL

Terminologies in MongoDB

BSON and JSON

How does MongoDB work? Let’s discuss Architecture!

Introduction to MongoDB Shell

Getting Hands-on with Mongo

Section Summary

CRUD operations with MongoDB

Update operators | $rename and $unset

MongoDB Databases

Ways of inserting data into the database

Inserting single document

Inserting multiple documents

Retrieving a specific document

Challenge: Let’s try writing a query

Updating the single document

Updating multiple documents

Writing advanced queries with MongoDB

Upsert

Query Operators in MongoDB

Using query operators to write advanced conditions

Challenge: Query Operators

AND with Query Operators

OR with Query Operators

Challenge: Writing OR conditions

AND with OR

Embedded documents

Querying embedded documents

Querying arrays in MongoDB documents

Challenge: Arrays

Using Query operators with MongoDB arrays

MongoDB Projections

Challenge: Projections

Working with Cursors in MongoDB

Update operations in depth

Collections in MongoDB compass

Update operators | $currentData and $inc

CHALLENGE: Update Operators

Update operators | $min, $max and $mul

Deleting documents from MongoDB database

Deleting a single document

Deleting multiple documents

Working with GUI: MongoDB compass

Modeling your database

What is MongoDB compass

Installing on MacOS

Installing on Windows

Connecting and exploring the interface

Databases in MongoDB Compass

Querying data

Modeling your data with MongoDB

What is Data Modeling

Data types in MongoDB

Embedded vs Linked

One to One Relationship and Patterns

One to Many

One to Many with References

One to Many | Subset Pattern

Aggregation

Aggregation in MongoDB

Aggregation Framework in MongoDB

Understanding MongoDB aggregation

Writing your first query using Aggregation Framework

Operators in aggregation

Grouping with $sum, $avg

Finding minimum and maximum using $min and $max

Getting the first and last document

Challenge: Getting last date of job application

Using $project to transform and get results

More on $project

$limit in aggregation

$skip in aggregation

Working with $lookup

Using $out

Indexes and performance improvement

Evaluating query performance in MongoDB

What is Indexing and Why do you need it?

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Prepares learners for the official MongoDB Associate Developer Certification Exam, which can help them stand out in the job market and demonstrate their proficiency

Teaches how to integrate MongoDB with popular programming languages like C#, Java, Python, and Node.js, which are commonly used in backend development

Explores indexing strategies and query performance evaluation, which are essential skills for optimizing database performance and ensuring efficient data retrieval

Provides hands-on experience with MongoDB Atlas, enabling learners to manage and deploy cloud-based databases, which is increasingly important in modern application development

Covers data modeling techniques and best practices, which are crucial for designing efficient and scalable databases that meet the needs of modern applications

Focuses on CRUD operations, advanced queries, and aggregation pipelines, which are fundamental skills for effectively managing data in MongoDB and building robust applications

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 Masterclass: Excel in NoSQL & Pass Certification! with these activities:

Review NoSQL Database Concepts

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Reinforce your understanding of NoSQL database principles before diving into MongoDB-specific concepts. This will help you better appreciate the design choices and advantages of MongoDB.

Browse courses on NOSQL Databases

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Read articles comparing NoSQL and SQL databases.
Review the CAP theorem and its implications.
Identify different types of NoSQL databases.

Read 'MongoDB: The Definitive Guide'

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Supplement the course material with a detailed guide to MongoDB. This will provide a deeper understanding of the underlying concepts and practical applications.

View MongoDB on Amazon

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Read the chapters relevant to the current course module.
Experiment with the code examples provided in the book.
Take notes on key concepts and techniques.

Practice CRUD Operations

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Solidify your understanding of CRUD operations by performing repetitive exercises. This will improve your fluency in writing queries and manipulating data in MongoDB.

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Create a sample database with various collections.
Insert, read, update, and delete documents in each collection.
Experiment with different query operators and update operators.

Four other activities

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Show all seven activities

Create a MongoDB Cheat Sheet

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Compile a cheat sheet of commonly used MongoDB commands, operators, and syntax. This will serve as a valuable reference tool for future projects.

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Gather essential MongoDB commands and syntax.
Organize the information into a clear and concise format.
Include examples of common use cases.

Build a Simple Web Application with MongoDB

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Apply your MongoDB knowledge by building a simple web application. This will provide hands-on experience with integrating MongoDB with a programming language and framework.

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Choose a programming language and web framework.
Design a simple data model for your application.
Implement CRUD operations using MongoDB drivers.
Deploy your application to a cloud platform.

Read 'Practical MongoDB'

Show steps

Supplement the course material with a practical guide to MongoDB. This will provide a deeper understanding of the underlying concepts and practical applications.

View Practical MongoDB on Amazon

Show steps

Read the chapters relevant to the current course module.
Experiment with the code examples provided in the book.
Take notes on key concepts and techniques.

Create a MongoDB Project Portfolio

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Showcase your MongoDB skills by creating a portfolio of projects. This will demonstrate your ability to apply your knowledge to real-world problems.

Show steps

Select projects that demonstrate your MongoDB skills.
Write a brief description of each project.
Include code samples and screenshots.
Publish your portfolio online.

Career center

Learners who complete MongoDB Masterclass: Excel in NoSQL & Pass Certification! will develop knowledge and skills that may be useful to these careers:

Backend Developer

Backend developers design, develop, and maintain the server-side logic of web applications, including database interactions. This role often requires working with NoSQL databases like MongoDB. The course helps backend developers build a foundation in MongoDB, covering core concepts like data modeling, CRUD operations, and query optimization. Furthermore, the course's focus on practical applications, including how to use it with different programming languages such as Java, C#, Python, and Node.js, is incredibly relevant for this role. The inclusion of database modeling best practices and aggregation techniques makes this course a great fit for a backend developer wanting to work with MongoDB.

See salaries and explore the career path for Backend Developer

Database Developer

Database developers are responsible for creating and maintaining databases. This role often requires a deep understanding of database management systems, including NoSQL databases such as MongoDB. This course builds a foundation in the principles and applications of MongoDB. The course content covers all the skills needed to be successful as a database developer using MongoDB: query writing, data modeling, performance optimization, and cloud-based deployments. The material on database modeling, aggregations, and indexing makes this course very relevant for a database developer.

See salaries and explore the career path for Database Developer

Data Engineer

Data engineers build and maintain the systems that process and store data, which frequently include databases. A mastery of database technologies like MongoDB is useful for anyone in this role. This course on MongoDB, with specific attention to data modeling, aggregation pipelines, and performance tuning using indexes, directly translates to skills needed for a data engineer. The course covers the MongoDB shell, CRUD operations, and advanced queries using operators, ensuring that anyone taking it is well-prepared to handle the data storage and retrieval demands of this position. The course also integrates with various programming languages, which is an important part of a data engineer's work.

See salaries and explore the career path for Data Engineer

Full-Stack Developer

As a full stack developer, you are responsible for both front-end and back-end development. This often involves managing databases, which makes knowing MongoDB, a leading NoSQL database, extremely useful. This course helps build the necessary skills to use MongoDB effectively. The syllabus includes all the topics needed to get started, from installation and setup to advanced query writing, data modeling, and the use of aggregation. The course integrates MongoDB with programming languages, further helping a full stack developer build applications from end to end. Specifically, this course's detailed lessons on MongoDB's architecture and query optimization are extremely useful for this role.

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Software Developer

Software developers design, develop and maintain software applications. Many applications use databases. For software developers working with NoSQL databases, this course helps. It provides comprehensive coverage of MongoDB, from basic architecture to advanced features, making it easy to begin using in an application. The course discusses how to perform CRUD operations, write complex queries, and use indexing to improve performance. The use of MongoDB with programming languages also makes it easy to integrate it with all kinds of applications. The course also prepares developers for MongoDB certification, which can be an asset.

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Database Administrator

A database administrator is responsible for the performance, integrity, and security of a database. This role involves designing, implementing, and maintaining databases, which requires an understanding of database architecture. This course helps build a foundation in MongoDB, a popular NoSQL database, which is a valuable skill for any database administrator. The course's deep dive into MongoDB's architecture, its focus on query optimization, and its coverage of indexing strategies are all directly applicable to the kind of work this role does. Moreover, the practical application of CRUD operations, the use of query operators, and analysis of query performance described in the syllabus directly help develop hands-on ability.

See salaries and explore the career path for Database Administrator

Application Developer

Application developers build software applications. These applications often involve data storage and management. This role requires a familiarity with database technologies such as MongoDB. This course helps application developers use MongoDB as their database. It provides instruction on everything from installing MongoDB and creating databases, to writing queries, and optimizing them. The practical, hands on applications provided in the course are especially useful for application developers. They include use of indexes, embedded documents, and aggregations. The course also provides support for using the database with different programming languages, which is paramount to application development.

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Cloud Database Engineer

A cloud database engineer is responsible for designing, implementing, and managing databases in cloud environments. This includes working with cloud-based databases such as MongoDB Atlas. This course provides direct help by building knowledge of MongoDB, including how it works with MongoDB Atlas. It teaches about all aspects of managing databases in production. The course includes information about data modeling, using query operators, and how to optimize performance through indexing. The combination of concepts and technical skills taught in this course are all useful.

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Data Analyst

Data analysts work with data to identify trends and insights. They often need to extract data from various sources, including databases. This course may be useful to a data analyst, especially one who wants to use MongoDB. The course teaches how to write queries, use aggregations, and use various operators to filter, transform, and extract data. The practical examples and the hands-on exercises provide support for handling real-world data analysis tasks. A data analyst would also find the sections on MongoDB architecture and usage of the mongo shell useful.

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Business Intelligence Analyst

Business intelligence analysts use data to find business insights and make recommendations. They often must pull data from various databases. This course may be useful for a business intelligence analyst who works with data from a MongoDB database. The course covers how to write queries, extract data, use aggregations, and use operators to transform and shape the data. The course's focus on query performance and MongoDB's architecture can also help improve data analysis.

See salaries and explore the career path for Business Intelligence Analyst

Solutions Architect

Solutions architects design and oversee the implementation of solutions, which frequently includes choosing the right database technology. This role requires a thorough understanding of different types of databases, including NoSQL databases such as MongoDB. This course may be useful for a solutions architect by providing an in-depth look at MongoDB. A solutions architect would gain knowledge of MongoDB’s architecture, data modeling, and performance optimization techniques. The course’s coverage of cloud deployment through MongoDB Atlas is also useful for this role. The course’s broad coverage helps in understanding how MongoDB fits within a larger solution.

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Technical Consultant

Technical consultants provide expert advice and guidance on technology-related issues, which often include database technologies. They need to understand the technical details and business implications of different systems, which includes a database like MongoDB. While this course does not provide information about business, it does help provide a technical foundation in MongoDB. This includes modeling data, performing CRUD operations, and optimizing queries. The course’s focus on using MongoDB in different programming languages may be also useful for this role.

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System Administrator

System administrators manage and maintain computer systems, often including database systems. A foundational understanding of database technology like MongoDB may be useful. This course on MongoDB's architecture, installation, and practical operations helps a system administrator who is going to work with MongoDB databases. The course's coverage of how MongoDB works, along with techniques such as data modeling and indexing, may also be useful for troubleshooting and system maintenance.

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Artificial Intelligence Engineer

Artificial intelligence engineers develop and implement AI solutions. They often need to handle large volumes of data, which may require the use of different databases. This course may be useful to an artificial intelligence engineer. It provides a deep dive into MongoDB, a NoSQL database that can be used with AI applications. The course covers query writing, data modeling, and performance optimization. The course also discusses database architecture, which may help an AI engineer understand the data layer. The course also may be helpful to work with different kinds of unstructured data.

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Machine Learning Engineer

Machine learning engineers build and deploy machine learning models, often requiring them to handle large datasets. While this course is not directly a part of machine learning, it may be useful if the data is stored in a MongoDB database. This course provides instruction on how to manage data in MongoDB, write complex queries, and optimize database performance. The course also covers database modeling and aggregation pipelines, which may help a machine learning engineer to retrieve data effectively. The course's practical approach to database management may be useful if a model is trained on data from MongoDB.

See salaries and explore the career path for Machine Learning Engineer

MongoDB Masterclass

Excel in NoSQL & Pass Certification!

What's inside

Learning objectives

Syllabus

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Activities

Career center

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