
Explore how MongoDB's document-based, schema-less design enables flexible, durable applications across web, mobile, games, and data analytics, and why Fortune 100 companies migrate to it.
Meet Muhammad Ahmed, a cloud and big data engineer with years of experience supporting data and cloud departments for American firms, bringing database and migration expertise to MongoDB mastery.
Explore two projects that showcase crud operations on MongoDB with the jiangue framework and a spark-based etl pipeline to load CFP data into MongoDB, plus mini quizzes.
Install MongoDB on your local machine by downloading the community server and setting it as a service, then configure the data and log directories.
Explore analogies that map SQL concepts to MongoDB terms, showing how databases and tables translate to databases and collections, while rows become documents and columns become fields.
Discover how to perform the create operation in MongoDB by inserting a single document and then using batch insertions to add multiple documents to a collection, avoiding many requests.
Learn to insert documents individually into a MongoDB collection by writing separate insert queries, practice building JSON objects, and explore the solution in the next video.
Learn how to insert documents into a MongoDB collection for a quiz, using JSON objects with student name, surname, and marks, through editing in Sublime or terminal for hands-on practice.
Practice read document operations by printing all documents, then present a formatted output; filter for nine marks in French and eight or nine point five in science and history.
Explore the basics of delete operations in MongoDB by learning how to select a single document and remove it, setting the groundwork for more advanced tasks.
Demonstrate the $all operator to filter documents whose array field contains all specified elements, such as appliance, school, and book, using tags and quantity examples.
Learn to use the MongoDB $size operator to filter documents by the length of an array field, returning matches with a specific element count and avoiding data skew.
Create the quiz collection, insert records, and use MongoDB queries to find documents by quantity 15, by code 000 inside item, and by C in tags, with array handling.
Explore the MongoDB less-than operator by filtering documents with quantity under 15 and size under 12 in the quiz dataset.
Explore using MongoDB's $ne operator to filter documents by non-equal values, such as quantity not equal to 20 and item sizes not equal to 10, with practical query examples.
Learn to build MongoDB queries with the $and operator to filter by multiple conditions, such as quantity not equal to 15 and item size 15, then combine tags and names.
Master MongoDB queries by combining not conditions to filter documents where code is not one, two, three, quantity is greater than 15, and tags do not contain a or d.
Learn to use the $expr operator in MongoDB to compare budget and spent, writing queries for equal, less than, and greater than, with a food or drinks category filter.
practice the mongodb text operator with queries filtering subjects containing coffee or shop and views >= 50. explore exact coffee matches with case sensitivity and exclusions like coffee without cream.
Explore how the $inc operator in MongoDB can increase or decrease values, such as quantity or orders, via update many or update, including decreasing by minus five.
Explore the $addToSet operator to treat arrays like sets, ensuring unique elements during updates and preventing duplicates in MongoDB collections.
learn how the MongoDB push operator adds elements to an array field across documents with update many, and why the target must be an array.
Learn how to update multiple documents in MongoDB using updateMany and the set operator to reset the quantity field to zero for the specified search criteria.
Install Node.js on your local machine, set the PATH environment variable, and prepare to connect MongoDB with Node.js for basic operations in projects.
Create and configure a MongoDB Atlas user with admin, read/write, or read-only roles to control access to databases, enabling secure connections via application or MongoDB shell.
Control network access in MongoDB Atlas by restricting access to specific IPs or CIDR ranges, while credentials are required, and the connection URL remains unchanged.
Connect a Node.js application to a MongoDB Atlas cluster using the official driver, install it with npm, establish a connection, list databases, and close the client with error handling.
Learn to read documents from a MongoDB cluster using Node.js by using find, handling the cursor, and converting it to an array to print results.
Learn to delete documents in MongoDB with node.js by applying deleteMany with a condition, removing all documents matching criteria and checking the acknowledged delete count.
MongoDB, a fast and scalable NoSQL database, is extremely popular right now. This object-oriented database is simple and dynamic, making it a valuable skill for aspiring developers. The demand for MongoDB developers is soaring, and this course will equip you with the knowledge and practical skills needed to excel in this field.
Course Highlights:
In this comprehensive course, you'll embark on a journey from MongoDB novice to proficient developer. Here's a breakdown of what you'll learn:
1. MongoDB Fundamentals: You'll start by mastering the elementary concepts of MongoDB, including installing MongoDB, setting up MongoDB Atlas, and understanding the fundamental structure of MongoDB databases, collections, and documents. We'll guide you through these initial steps, ensuring you have a solid foundation.
2. CRUD Operations: You'll delve into the essential Create, Read, Update, and Delete (CRUD) operations in MongoDB. Understanding how to interact with your MongoDB database is crucial, and we'll cover these operations in-depth to empower you with practical skills.
3. Query and Projection Operators: MongoDB offers powerful query and projection operators to retrieve and manipulate data. You'll learn how to craft precise queries to fetch the information you need. This section will sharpen your data retrieval abilities.
4. Update Operators: Discover how to modify data within MongoDB using update operators. Whether you need to increment values, rename fields, or perform other updates, you'll grasp the techniques to do so effectively.
5. MongoDB with Node.js and Python: Extend your MongoDB expertise by integrating it with popular programming languages such as Node.js and Python. You'll learn how to connect, interact, and work with MongoDB using these languages.
6. Building a Django Application: In a hands-on project, you'll build a basic CRUD-based web application using Django and MongoDB. This project will give you valuable experience in creating real-world applications that interact with MongoDB.
7. ETL Using Spark with MongoDB: Take your skills to the next level by mastering Extract, Transform, Load (ETL) processes using Apache Spark with MongoDB. You'll explore how to read data from MongoDB, perform transformations, and write data back, a critical skill in modern data engineering.
Why This Course Is Unique:
This course distinguishes itself by offering a dynamic learning experience that goes beyond traditional textbooks. Here's what sets it apart:
Practical Focus: You won't be buried in theoretical concepts. Instead, you'll learn by doing, with hands-on exercises, quizzes, and challenging projects.
Comfortable Learning Pace: Whether you're an absolute beginner or have some prior knowledge, this course accommodates your learning curve. We start with the basics and gradually advance, ensuring you grasp each concept thoroughly.
HD Video Lectures: Access over 160 high-definition video lectures, totaling around 12 hours of engaging content.
Quizzes and Solutions: Test your knowledge with quizzes after each module, complete with detailed solutions to help reinforce your learning.
Real-World Application: Projects and exercises encourage you to apply what you've learned to real-world scenarios.
Supportive Community: Our friendly team is here to assist you with any doubts related to the course content, ensuring you receive prompt and helpful responses.
Course Outline:
Here's a glimpse of what you'll cover throughout this comprehensive course:
Introduction to MongoDB
Understanding NoSQL and MongoDB's significance
Installing MongoDB and setting up MongoDB Atlas
Exploring MongoDB's fundamental components: databases, collections, and documents
Basic Mongo Operations
Creating, viewing, and switching databases
Creating and viewing collections
CRUD Operations in MongoDB
Create, Read, Update, Delete operations explained
Query and Projection Operators
Mastering query selectors and projection operators
Update Operators
In-depth exploration of field, array, and modifier update operators
MongoDB with Node.js
Connecting MongoDB with Node.js for seamless integration
MongoDB with Python
Harnessing the power of Python to interact with MongoDB
Building a Django Application (Project)
Developing a CRUD-based web application using Django and MongoDB
ETL Using Spark with MongoDB (Project)
Extract, Transform, Load data from MongoDB using Apache Spark
Who Should Enroll:
This course is designed for individuals who aspire to excel in MongoDB development. It's suitable for:
Absolute beginners with no prior MongoDB knowledge
Those seeking to develop smart solutions using MongoDB
Aspiring MongoDB developers looking to learn and apply their skills in real-world projects
Data Scientists, Database Administrators, Database Engineers, and Data Engineers
Upon successful completion of this course, you'll have the knowledge and practical skills to implement MongoDB in various projects and confidently tackle real-world MongoDB challenges.
Ready to Dive into MongoDB? Enroll Now and Unlock Your Full Development Potential!
What You'll Learn:
MongoDB fundamentals, including installation and setup
CRUD operations in MongoDB
Query and projection operators
Update operators
Integrating MongoDB with Node.js and Python
Building a Django application with MongoDB
ETL processes using Apache Spark with MongoDB
List of Keywords:
MongoDB
NoSQL
Database Development
CRUD Operations
Query Operators
Update Operators
Integration with Node.js
Integration with Python
Building a Django Application
ETL Processes
Apache Spark
MongoDB Atlas