Mongodb For Beginners: Build A Mean Stack App

Last updated 8/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.71 GB | Duration: 5h 11m

Learn NoSQL concepts, Querying Collections, Validations, Relationships, Aggregation, Map-reduce, MEAN Stack App and More

What you’ll learn
NoSQL Concepts
MongoDB Installation and Configuration
Mongo Shell
Collections and Documents
MongoDB CRUD Operations
Schema Validations
Find document(s) and Perform Operations
Data Modeling
Embedded Document and Reference Document
Model Relationships – 1:m, m:m
Aggregation and Map-reduce
Data Import/Export
Database Backup/Restore
Building a MEAN Stack App
MEAN Stack CRUD Operations
Requirements
To start this course, you should be familiar with JavaScript, VS Code and Node.
Description
MongoDB is one of the most popular NoSQL databases use across the world to save, query and manage your data in NoSQL fashion. MongoDB enables you to store data, querying it efficiently and minimizing complexities. Learn MongoDB from scratch to manage database for web applications, mobile applications or any other kind of application in efficient way.MongoDB is a document-oriented NoSQL database used for storing high volume data in JSON format. Learn to leverage the MongoDB necessary concepts to design your models and to manage and query your MongoDB database in a better way. In this course, you will learn how to create and query MongoDB collections and documents. Further, learn MongoDB schema validation and indexing etc.REST refers to Representational State Transfer which “is an architectural style that defines a set of constraints and properties based on HTTP”. Learn to build REST API using Express & MongoDB and test it using Postman tool.What You will Learn:What is NoSQL Database?Types of NoSQL DatabaseIntroduction to MongoDBWhy MongoDB ?MongoDB Advantages and LimitationsMongoDB Installation and ConfigurationMongoDB: Hierarchical ObjectsMongo ShellData TypesCollections and Capped CollectionDocumentsMongoDB CRUD OperationsQuerying CollectionsSchema ValidationsIndexesFind document(s) and Perform OperationsData ModelingEmbedded DocumentReference DocumentModel RelationshipsAggregationMap-reduceData Import/ExportDatabase Backup/RestoreExpress Project ArchitectureSetting Up ProjectDefining Models and Relationships using MongooseRepository Design PatternsAsync and AwaitDefining Controllers and RoutesPerforming CRUD OperationsConfiguring GulpApp Deployment on IIS

Overview

Section 1: Introduction to NoSQL and MongoDB

Lecture 1 What is NoSQL Database?

Lecture 2 Types of NoSQL Database

Lecture 3 Introduction to MongoDB

Lecture 4 Why MongoDB

Lecture 5 MongoDB Features

Lecture 6 Who Use MongoDB

Lecture 7 Advantages of MongoDB

Lecture 8 What MongoDB doesn’t have

Lecture 9 Setting up MongoDB

Lecture 10 Verify MongoDB Installation

Section 2: MongoDB Basics

Lecture 11 RDBMS Concepts to NoSQL

Lecture 12 MongoDB Hierarchical Objects

Lecture 13 Built-In Databases

Lecture 14 User defined Database

Lecture 15 Collection and Document

Lecture 16 Mongo Shell

Lecture 17 Mongo Shell Basic Commands

Section 3: MongoDB Advanced Concepts

Lecture 18 MongoDB Advanced Concepts

Lecture 19 Data Modeling in MongoDB

Lecture 20 Embedded Document

Lecture 21 Reference Document

Section 4: Model Relationships

Lecture 22 Introduction to Model Relationships

Lecture 23 One-to-One Relationships Embedded Documents

Lecture 24 One-to-Many Relationships Embedded Documents

Lecture 25 One-to-Many Relationships Reference Documents

Lecture 26 Many-to-Many Relationships Embedded Documents

Section 5: Aggregation

Lecture 27 Introduction to Aggregation

Lecture 28 Aggregation Pipeline

Lecture 29 Demo Aggregation Pipeline

Lecture 30 Map-Reduce

Lecture 31 Demo Map-Reduce

Lecture 32 Single Purpose Aggregation Operations

Lecture 33 Data Export and Import MongoDB Compass

Lecture 34 Data Export and Import Command Prompt

Lecture 35 Database Backup and Restore Command Prompt

Section 6: Working with MongoDB

Lecture 36 Working with MongoDB

Lecture 37 Getting Started with MongoDB

Lecture 38 MongoDB Data Types

Lecture 39 Collections

Lecture 40 Documents

Lecture 41 Capped Collection

Section 7: CRUD Operations

Lecture 42 Create Operation

Lecture 43 Retrieve Operation

Lecture 44 Update Operation

Lecture 45 Delete Operation

Lecture 46 Find documents and Perform Operations

Lecture 47 Introduction to Cursor

Lecture 48 Cursor Methods

Lecture 49 Demo Querying Collections

Lecture 50 Query Selectors

Lecture 51 Demo Query Selectors

Lecture 52 Schema Validation

Lecture 53 Defining Schema Validation

Lecture 54 Demo Schema Validation

Lecture 55 Introduction to Indexes

Lecture 56 Demo Creating Indexes

Lecture 57 Types of Indexes

Section 8: CRUD Operations Using MEAN Stack

Lecture 58 MEAN Stack App Structure

Lecture 59 Setting Up Project

Lecture 60 Defining Model Using Mongoose

Lecture 61 Database Configuration

Lecture 62 Building REST API

Lecture 63 Testing REST API

Lecture 64 Update and Delete Operations

Lecture 65 Setting Up Front End Using Angular

Lecture 66 Configure Routing

Lecture 67 Creating Service

Lecture 68 Listing Users

Lecture 69 Creating User

Lecture 70 Editing User

Lecture 71 Deleting User

Lecture 72 Setting Up Project On Local Machine

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