Mongodb Masterclass: Excel In Nosql & Pass Certification!

Unlock the Power of MongoDB: Learn Data Modeling, Aggregations, Indexing Using Java, Python, C# and Node.js

What you'll learn

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.

Requirements

A computer running Windows, Mac OS, or Linux so that the free tools for writing code can be installed and used in the course.

Knowledge of basic programming skills in on or more of the languages mentioned on the page.

Description

Unlock the Power of MongoDB: The Comprehensive NoSQL Database CourseAre 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!

Overview

Section 1: Installation and setup

Lecture 1 Introduction to the course

Lecture 2 Getting the best out of this course

Lecture 3 Before Installing MongoDB

Lecture 4 Installing Mongo on Windows

Lecture 5 Installing Mongo on Mac

Section 2: MongoDB Introduction

Lecture 6 Section Introduction

Lecture 7 What is a database and why do we need it?

Lecture 8 What is MongoDB and its benefits?

Lecture 9 NoSQL vs SQL

Lecture 10 Terminologies in MongoDB

Lecture 11 BSON and JSON

Lecture 12 How does MongoDB work? Let’s discuss Architecture!

Lecture 13 Introduction to MongoDB Shell

Lecture 14 Getting Hands-on with Mongo

Lecture 15 Section Summary

Section 3: CRUD operations with MongoDB

Lecture 16 Section Introduction

Lecture 17 MongoDB Databases

Lecture 18 Ways of inserting data into the database

Lecture 19 Inserting single document

Lecture 20 Inserting multiple documents

Lecture 21 Retrieving a specific document

Lecture 22 Challenge: Let’s try writing a query

Lecture 23 Updating the single document

Lecture 24 Updating multiple documents

Lecture 25 Section Summary

Section 4: Writing advanced queries with MongoDB

Lecture 26 Section Introduction

Lecture 27 Query Operators in MongoDB

Lecture 28 Using query operators to write advanced conditions

Lecture 29 Challenge: Query Operators

Lecture 30 AND with Query Operators

Lecture 31 OR with Query Operators

Lecture 32 Challenge: Writing OR conditions

Lecture 33 AND with OR

Lecture 34 Embedded documents

Lecture 35 Querying embedded documents

Lecture 36 Querying arrays in MongoDB documents

Lecture 37 Challenge: Arrays

Lecture 38 Using Query operators with MongoDB arrays

Lecture 39 MongoDB Projections

Lecture 40 Challenge: Projections

Lecture 41 Working with Cursors in MongoDB

Lecture 42 Section Summary

Section 5: Update operations in depth

Lecture 43 Section Introduction

Lecture 44 Update operators | $currentData and $inc

Lecture 45 CHALLENGE: Update Operators

Lecture 46 Update operators | $min, $max and $mul

Lecture 47 Update operators | $rename and $unset

Lecture 48 Upsert

Lecture 49 Section Summary

Section 6: Deleting documents from MongoDB database

Lecture 50 Deleting a single document

Lecture 51 Deleting multiple documents

Section 7: Working with GUI: MongoDB compass

Lecture 52 Section Introduction

Lecture 53 What is MongoDB compass

Lecture 54 Installing on MacOS

Lecture 55 Installing on Windows

Lecture 56 Connecting and exploring the interface

Lecture 57 Databases in MongoDB Compass

Lecture 58 Collections in MongoDB compass

Lecture 59 Querying data

Lecture 60 Section Summary

Section 8: Modeling your data with MongoDB

Lecture 61 Section Introduction

Lecture 62 What is Data Modeling

Lecture 63 Data types in MongoDB

Lecture 64 Modeling your database

Lecture 65 Embedded vs Linked

Lecture 66 One to One Relationship and Patterns

Lecture 67 One to Many

Lecture 68 One to Many with References

Lecture 69 One to Many | Subset Pattern

Lecture 70 Section Summary

Section 9: Aggregation

Lecture 71 Section Introduction

Lecture 72 Aggregation in MongoDB

Lecture 73 Aggregation Framework in MongoDB

Lecture 74 Understanding MongoDB aggregation

Lecture 75 Writing your first query using Aggregation Framework

Lecture 76 Operators in aggregation

Lecture 77 Grouping with $sum, $avg

Lecture 78 Finding minimum and maximum using $min and $max

Lecture 79 Getting the first and last document

Lecture 80 Challenge: Getting last date of job application

Lecture 81 Using $project to transform and get results

Lecture 82 More on $project

Lecture 83 $limit in aggregation

Lecture 84 $skip in aggregation

Lecture 85 Working with $lookup

Lecture 86 Using $out

Lecture 87 Section Summary

Section 10: Indexes and performance improvement

Lecture 88 Section Introduction

Lecture 89 Evaluating query performance in MongoDB

Lecture 90 What is Indexing and Why do you need it?

Lecture 91 The Default Index

Lecture 92 Challenge: Retrieving indexes

Lecture 93 Having index vs Without index

Lecture 94 Creating indexes

Lecture 95 Deleting an index

Lecture 96 Index options

Lecture 97 Indexes and their types

Lecture 98 Compound indexes

Lecture 99 Index Performance and ESR rule

Lecture 100 Section Summary

Section 11: MongoDB in Cloud with MongoDB Atlas

Lecture 101 Section Introduction

Lecture 102 What is MongoDB Atlas

Lecture 103 Setting up your database in Atlas

Lecture 104 Connecting via MongoDB compass

Lecture 105 Connecting via shell

Lecture 106 Interacting with your data

Lecture 107 Creating database and collection in Atlas

Lecture 108 Aggregation pipeline in Atlas

Lecture 109 Section Summary

Section 12: Drivers in MongoDB

Lecture 110 Overview of different MongoDB Drivers

Section 13: MongoDB with Python

Lecture 111 Section Introduction

Lecture 112 Creating your Python Project

Lecture 113 Connecting to the database

Lecture 114 Fetching all the documents

Lecture 115 Using query filters

Lecture 116 Projections

Lecture 117 Inserting your first document

Lecture 118 Inserting many documents

Lecture 119 Updating document

Lecture 120 Updating many documents

Lecture 121 Deleting documents

Lecture 122 Sort documents

Lecture 123 Aggregation using Python

Lecture 124 Connecting to the cloud database

Lecture 125 Section Summary

Section 14: MongoDB with Java

Lecture 126 Section Introduction

Lecture 127 Creating your Java Project

Lecture 128 Connecting to the database

Lecture 129 Fetching all the documents

Lecture 130 Filtering documents

Lecture 131 Projection using Java

Lecture 132 Sorting documents using Java

Lecture 133 Inserting your first document

Lecture 134 Inserting many documents

Lecture 135 Updating document

Lecture 136 Updating many documents

Lecture 137 Delete one document

Lecture 138 Delete many documents

Lecture 139 Aggregation using Java

Lecture 140 Connecting to the cloud database

Lecture 141 Section Summary

Section 15: MongoDB with Node.js

Lecture 142 Section Introduction

Lecture 143 Creating your Node.js Project

Lecture 144 Connecting to the database

Lecture 145 Fetching all the documents

Lecture 146 Filtering documents

Lecture 147 Projections

Lecture 148 Sorting documents

Lecture 149 Inserting your first document

Lecture 150 Inserting many documents

Lecture 151 Updating document

Lecture 152 Updating document with options

Lecture 153 Updating many documents

Lecture 154 Delete one documents

Lecture 155 Delete many documents

Lecture 156 Aggregation using Node.js

Lecture 157 Connecting to the cloud database

Lecture 158 Section Summary

Section 16: MongoDB with C#

Lecture 159 Section Introduction

Lecture 160 Creating your C# Project

Lecture 161 Connecting to the database

Lecture 162 Fetching all the documents

Lecture 163 Filtering documents

Lecture 164 Filtering based on multiple conditions

Lecture 165 Projections

Lecture 166 Sorting documents

Lecture 167 Inserting your first document

Lecture 168 Inserting many documents

Lecture 169 Updating document

Lecture 170 Updating document with options

Lecture 171 Updating many documents

Lecture 172 Delete one documents

Lecture 173 Delete many documents

Lecture 174 Aggregation using C#

Lecture 175 Connecting to the cloud database

Lecture 176 Section Summary

Section 17: Getting MongoDB Certification

Lecture 177 Overview of MongoDB certification

Section 18: Extra Information - Source code, and other stuff

Lecture 178 Source Codes

Lecture 179 Bonus Lecture and Information

Aspiring database professionals seeking to enhance their understanding of NoSQL databases and MongoDB,Developers aiming to expand their skill set by learning how to create robust web applications using MongoDB as the database.,Individuals preparing for the MongoDB Associate Developer Certification Exam will find this course invaluable.,Ideal for anyone interested in building a career in database management or NoSQL development.