monngoDB course

MongoDB Course

Start Date:
TBD
20
academic hours
Final Project
MongoDB

MongoDB Course

Dive into the world of document-oriented databases with our hands-on MongoDB course. Learn to design, build, and maintain scalable and flexible database solutions for modern applications. From basic CRUD operations to advanced aggregation pipelines, this course covers everything you need to become proficient in MongoDB.
The MongoDB course is taught as part of the Full Stack course track, which also includes MySQL, HTML, CSS, JavaScript, and other topics important for a website developer, or WEB developer.
The course is designed to provide you with the knowledge and practical tools to use the system - how to install it, learn about its concept, its environment, JSON, create indices, and more.

MongoDB is a system for preserving Big Data. In short, MongoDB is a documentation of databases with scalability and flexibility according to user needs and indices defined by them. The system's notable features include the ability to handle large amounts of data (hence the name "humongous"). In other words, the system stores information in large quantities and allows for easy searching by setting indices, mapping the data, and through a system that's easy to use and learn.

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Why Learn MongoDB

  • High Demand: MongoDB skills are highly sought after in the tech industry.
  • Scalability: Learn to work with databases that can handle massive data.
  • Flexibility: Understand how to work with unstructured and semi-structured data.
  • Performance: Discover how to optimize database performance for real-world applications.
  • Modern Stack: MongoDB is a key component in many modern web development stacks (e.g., MEAN, MERN).
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What You Learn in Our MongoDB course

  • MongoDB Basics: Understand NoSQL concepts and MongoDB's document model.
  • CRUD Operations: Master Create, Read, Update, and Delete operations.
  • Indexing and Performance: Learn to optimize query performance with proper indexing.
  • Aggregation Framework: Perform complex data analysis and transformations.
  • Data Modeling: Design efficient schemas for various use cases.
  • Replication and Sharding: Implement high availability and horizontal scaling.
  • Security: Understand authentication, authorization, and encryption in MongoDB.
  • MongoDB Atlas: Work with MongoDB's cloud database service.
  • Integration: Learn to integrate MongoDB with various programming languages and frameworks.
  • Best Practices: Discover industry best practices for MongoDB development and administration.
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Who Should Attend

  • Beginner programmers interested in integrating into the field of web development
  • Academics interested in transitioning professionally to the world of web programming.
  • Those with a basic background who want to improve their web programming skills.
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Prerequisites

  • Basic ability to work with computers.
  • Background or experience in software development using high-level languages - an advantage, but not mandatory.

Skills & Techniques

  • NoSQL Concepts: Understand the fundamentals of NoSQL databases and their differences from relational databases.
  • MongoDB Architecture: Grasp MongoDB's architecture, including its distributed nature and sharding concepts.
  • BSON Data Model: Work with BSON (Binary JSON) and understand its advantages over standard JSON.
  • Document Model Design: Design efficient document models for various application scenarios.
  • CRUD Operations: Master Create, Read, Update, and Delete operations in MongoDB.
  • Query Language: Proficiently use MongoDB's query language for complex data retrieval.
  • Indexing Strategies: Implement and optimize indexes for improved query performance.
  • Aggregation Framework: Use MongoDB's powerful aggregation framework for data processing and analysis.
  • Data Modeling Best Practices: Apply best practices in data modeling for MongoDB, including embedding vs. referencing.
  • Schema Design Patterns: Implement common schema design patterns suitable for document databases.

These skills and techniques prepare you for roles such as MongoDB Developer, Database Administrator, Backend Developer, and Data Engineer. They provide a comprehensive foundation for designing, implementing, and managing MongoDB databases in various application scenarios, from small-scale applications to large, distributed systems.

Course Structure

Ch. 1

Introduction to MongoDB

Ch. 2

Installation

Ch. 3

MongoDB API

Ch. 4

Core Consepts

Ch. 5

Environment

Ch. 6

JSON

Ch. 7

Indexing

Ch. 8

Query Optimizer

Ch. 9

Scheme Design

Ch. 10

CRUD and MongoDB Shell

Ch. 11

MongoDB and NodeJS

Head of the department
teacher-image-Oleg-Korzon

Meet your instructor

Oleg Korzon

Head of Web Application Development

Senior Lecturer and Director of Web Development at Embedded Academy. With extensive expertise in HTML5, CSS, JavaScript, jQuery, Angular, React, Node.js, MongoDB, and other cutting-edge web technologies, our instructor brings a wealth of experience to the classroom. His diverse background encompasses:

  • Delivering high-quality training programs
  • Spearheading complex web development projects
  • Providing strategic consulting in website and web application development

What our graduates say

FAQs

What is MongoDB?

MongoDB is the world's leading database in the NoSQL category and among the top five in all categories.

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What is NoSQL?

NoSQL is a relatively new database category that provides storage and access solutions for information not modeled in a relational tabular structure common in relational databases. The motivation for this approach to database development includes simplicity of characterization, horizontal scalability, and increased control over availability.

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What is MongoDB vs MySQL?

MongoDB is a document-based, non-relational database management system. It's also called an object-based system. It was designed to replace the MySQL structure as an easier way to work with data. On the other hand, MySQL is a table-based system (or open-source relational database).

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