Complete MongoDB and Mongoose Course Take a Deep Dive_1

Complete MongoDB and Mongoose Course – Take a Deep Dive, available at $69.99, has an average rating of 4.7, with 219 lectures, based on 161 reviews, and has 1666 subscribers.

You will learn about Understand how MongoDB stores and manages data Master fundamental operations lie CRUD, building indexes, capped collections, etc. Perform complicated query operations using aggregation Create, operate and manage replica sets and sharded clusters Perform transaction operations on Mongo shell and using the nodeJS driver Enable role-based access control for better security Monitor the running status of MongoDB Operate MongoDB using nodeJS This course is ideal for individuals who are Anyone who wants to master MongoDB or Anyone who wants to gain a deep understanding of MongoDB It is particularly useful for Anyone who wants to master MongoDB or Anyone who wants to gain a deep understanding of MongoDB.

Enroll now: Complete MongoDB and Mongoose Course – Take a Deep Dive

Summary

Title: Complete MongoDB and Mongoose Course – Take a Deep Dive

Price: $69.99

Average Rating: 4.7

Number of Lectures: 219

Number of Published Lectures: 219

Number of Curriculum Items: 219

Number of Published Curriculum Objects: 219

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Understand how MongoDB stores and manages data

Master fundamental operations lie CRUD, building indexes, capped collections, etc.

Perform complicated query operations using aggregation

Create, operate and manage replica sets and sharded clusters

Perform transaction operations on Mongo shell and using the nodeJS driver

Enable role-based access control for better security

Monitor the running status of MongoDB

Operate MongoDB using nodeJS

Who Should Attend

Anyone who wants to master MongoDB

Anyone who wants to gain a deep understanding of MongoDB

Target Audiences

Anyone who wants to master MongoDB

Anyone who wants to gain a deep understanding of MongoDB

I know of your past fondness for the SQL varietals, but I can wholeheartedly endorse a new breed of NON-SQLs–MongoDB.

MongoDB is one of the most popular non-SQL databases. Its dynamic schema offers great storage flexibility, enabling your project to deal with ever-changing demands.

Only basic JavaScript knowledge is needed to start this course. If you know how to use a JavaScript object, then you are good to go!

We will start with basic MongoDB concepts and operations, including how MongoDB manages data, CRUD operations, creating validators and indexes, etc.

Then you will learn how to monitor the real-time status of MongoDB collections and databases.

We will also learn advanced topics like aggregation, replica, and sharding.

In the end, we will learn Mongoose and the native nodeJS MongoDB driver.

We want this course to be a serious course that can truly help you master MongoDB and take you to the next level. Therefore, we do not shy away from difficult and complicated topics. But we also believe a good course should make your MongoDB study easy. So we took a two-step approach. We will explain the theory first. After you have developed a basic impression, we will apply what we have learned in real-life examples.

Course Curriculum

Chapter 1: MongoDB Installation

Lecture 1: Install MongoDB

Lecture 2: MongoDB Installation: Demonstration

Lecture 3: Installation Challenge: Making Sure You Have Fully Understood Everything

Lecture 4: MongoDB Atlas

Chapter 2: MongoDB Basic Concepts

Lecture 1: Daemon, Process, and Shell

Lecture 2: MongoDB Config File

Lecture 3: MongoDB Schema

Lecture 4: MongoDB Shell Introduction Part 1

Lecture 5: MongoDB Shell Introduction Part 2

Lecture 6: Mongo Shell Native Methods

Lecture 7: The DB object and the Connection Object

Lecture 8: Try the DB and Connection Object on Mongo Shell

Lecture 9: Starting a Mongo Shell without Selecting a Database: the –nodb flag

Lecture 10: The .mongorc.js file

Lecture 11: A Brief Review of How Prototype Chain Works in JavaScript

Lecture 12: Application of the .mongorc.js File

Lecture 13: Shell Scripts and the Interactive Mode

Lecture 14: What We Are About to Learn Next

Chapter 3: Naming Rules and BSON

Lecture 1: Rules You Must Follow When Naming Databases, Collections and Fields

Lecture 2: BSON Introduction

Lecture 3: BSON Data Type

Chapter 4: MongoDB CRUD Operations

Lecture 1: CRUD Study Preparation

Lecture 2: Create

Lecture 3: Insert One Document at a Time

Lecture 4: Insert Multiple Documents Together

Lecture 5: Try the insertMany Method

Lecture 6: The Insert Command

Lecture 7: The Cursor Object

Lecture 8: Query Operators

Lecture 9: Try Query Operators

Lecture 10: Collation Introduction

Lecture 11: Application of Collation in Making Queries

Lecture 12: How to Work with Nested Array

Lecture 13: How to Work with Nested Documents Part 1

Lecture 14: How to Work with Nested Documents Part 2

Lecture 15: The Cursor Object and Its Methods

Lecture 16: How to Copy a Collection

Lecture 17: Introduction to Update

Lecture 18: Demonstration of Updating Documents

Lecture 19: Upsert: the Combination of Insert and Update

Lecture 20: How to Update Date-type Values

Lecture 21: Array-related Updates Part 1

Lecture 22: Array-related Updates part 2

Lecture 23: The addToSet Operator: No Duplicated Elements

Lecture 24: The Three Element Updaters: $, $[], and $[identifier]

Lecture 25: The Delete Operation

Chapter 5: Index

Lecture 1: Introduction to Index

Lecture 2: Index-related Methods

Lecture 3: Demonstration of Creating and Using Indexes

Lecture 4: Build Indexes for Arrays

Lecture 5: The Sparse Index

Lecture 6: The TTL Index

Lecture 7: Introduction to the Text Index

Lecture 8: The Text Index

Lecture 9: Field Weight

Lecture 10: Setting the Field Weight

Chapter 6: Capped Collection

Lecture 1: Introduction to Capped Collections

Lecture 2: Working with a Capped Collection

Lecture 3: Tailable Cursor

Chapter 7: Validator

Lecture 1: Introduction to Validator

Lecture 2: Try the Validator

Chapter 8: Storage Engine and Journaling

Lecture 1: Storage Engine and Checkpoint

Lecture 2: Journaling

Lecture 3: Database and Collection Stats

Lecture 4: Manually Release Storage Space Back to OS

Chapter 9: Aggregation

Lecture 1: Aggregation Introduction

Lecture 2: Pipeline Stage and Operators

Lecture 3: Design the Aggregation Pipeline

Lecture 4: Try the Aggregation Pipeline

Lecture 5: The $avg and $sum Operator

Lecture 6: Try the $avg and $sum Operator

Lecture 7: The $round and $trunc Operator

Lecture 8: Rounding Average User Ratings

Lecture 9: Challenge: Calculating the Final Price: Price, VAT, Discount and Shipping Fee

Lecture 10: Other Commonly Used Aggregation Operators

Lecture 11: The $expr Operator: Finding Profitable Products

Lecture 12: The $group Stage

Lecture 13: $sort, $skip, $limit and $count

Lecture 14: Sort Documents Based on the TextScore During a Text/Keyword Search

Lecture 15: $unwind

Lecture 16: $sortByCount: a Combination of $group, $sum and $$sort

Lecture 17: Introduction to $bucket and $bucketAuto

Lecture 18: Application of the $bucket Stage

Lecture 19: Application of the $bucketAuto Stage

Lecture 20: $facet: Reuse Results of the Previous Stage

Lecture 21: $arrayElemAt: Retrieving Elements Based on Index

Lecture 22: Challenge: Find the Car with the Highest Mileage

Lecture 23: The Left Join: $lookUp

Lecture 24: Application of the $lookUp stage: Retrieving Products and Ratings Together

Lecture 25: Using $lookUp the Other Way

Lecture 26: $out: Keep Aggregation Results for Future Use

Instructors

OnlyKiosk Tech
Provide Effective Coding Training

Rating Distribution

1 stars: 5 votes

2 stars: 3 votes

3 stars: 7 votes

4 stars: 46 votes

5 stars: 100 votes

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