girishgupta211-zz / MongoDBWithNode.js

This course is for learning mongoDB from scratch with Node.js (using Koa)

What is MongoDB:

• MongoDB is an open source database that uses a document-oriented data model.

• MongoDB is one of several database types to arise in the mid-2000s under the NoSQL banner. Instead of using tables and rows as in relational databases, MongoDB is built on an architecture of collections and documents. Documents comprise sets of key-value pairs and are the basic unit of data in MongoDB. Collections contain sets of documents and function as the equivalent of relational database tables

• Like other NoSQL databases, MongoDB supports dynamic schema design, allowing the documents in a collection to have different fields and structures. The database uses a document storage and data interchange format called BSON, which provides a binary representation of JSON-like documents. Automatic sharding enables data in a collection to be distributed across multiple systems for horizontal scalability as data volumes increase.

MongoDB for Node.js Developers

• This course is for learning mongo DB from scratch with Node.js.

Prerequisites:

• Should be comfortable with use of callbacks in JavaScript.

About this course

• Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the mongoose.

Objective

• After completing this course, you should have a good understanding as to how applications are built on top of MongoDB using Node.js

Course Duration:

• This is an 8 weeks course and divided into 3 levels.

Beginner Level

Overview

• Overview of Building an App with MongoDB
• Installing MongoDB (Linux)
• What’s is JSON and BSON
• Introduction to Creating and Reading Documents
• What is ObjectId

CRUD Operations

• Creating Documents
• The _id Field
• Reading Documents
• Comparison Operators
• Element Operators
• Logical Operators
• Regex Operator
• Array Operators
• Updating Documents
• Query operators such as : $, $in, $incr, $push, $pull, $near, Geo-operators

Schema Design

• MongoDB Schema Design
• Relational Normalization
• Modeling a Blog in Documents
• Living without Constraints
• Living without Transactions
• One to One Relations
• One to Many Relations
• Many to Many Relations
• Multikeys
• Benefits of Embedding
• Trees
• When to Denormalize

Node.js Fundamentals

• Section Intro
• Using Require
• Requiring Your Own Files
• Using 3rd Party Modules
• Introduction to npm
• Hello World using koa
• Koa: Handling GET Requests
• Koa: Handling POST Requests

The Mongoose ORM

• Setting Up Mongoose
• Validators, Types, and Defaults
• Installing Postman
• Resource Creation Endpoint - POST /todos
• Testing POST /todos
• List Resources - GET /todos
• Testing GET /todos
• Mongoose Queries and ID Validation
• Getting an Individual Resource - GET /todos/:id
• Testing GET /todos/:id
• Deploy API to Heroku
• Postman Environments
• Delete a Resource - DELETE /todos/:id
• Testing DELETE /todos/:id
• Updating a Resource - PATCH /todos/:id
• Testing PATCH /todos/:id

Indexes and Performance

• Storage Engines: Introduction
• Storage Engines: MMAPv1
• Storage Engines: WiredTiger
• Indexes
• Creating Indexes
• Discovering (and Deleting) Indexes
• Multikey Indexes
• Dot Notation and Multikey
• Index Creation Option, Unique
• Index Creation, Sparse
• Index Creation, Background
• Using Explain
• Explain: Verbosity
• Covered Queries
• When is an Index Used?
• How large is Your Index?
• Number of Index Entries
• Geospatial Indexes
• Geospatial Spherical
• Text Indexes
• Efficiency of Index Use
• Efficiency of Index Use Example
• Logging Slow Queries
• Profiling
• Mongotop
• Mongostat
• Sharding Overview

Medium-level

The Aggregation Framework

• Introduction to the Aggregation Framework
• Familiar Aggregation Operations
• Expressions Overview
• Reshaping Documents in $project Stages
• $unwind
• Array Expressions
• Accumulators
• Using Accumulators in $project Stages
• Introduction to $group
• _id in $group Stages
• $group vs. $project

Mongoose

• Save/delete triggers (ref:mongoose)
• Debugging

Advance-level

Application Engineering

• Write Concern
• Network Errors
• Introduction to Replication
• Replica Set Elections
• Write Consistency
• Creating a Replica Set
• Replica Set Internals
• Failover and Rollback
• Connecting to a Replica Set from the Node.js Driver
• Failover in the Node.js Driver
• Write Concern Revisited
• Read Preferences
• Review of Implications of Replication
• Introduction to Sharding
• Building a Sharded Environment
• Implications of Sharding
• Sharding + Replication
• Choosing a Shard Key

Security and Authentication

• capped collection
• Security: user authentication
• CAP (Consistency Availability Partitioning) theorem
• Asynchronous development using callback/Promise mechanism