MongoDB (Video-Based)

Course details

MongoDB is a document-oriented data store that is easy to get started with but also scales well as your application grows. It’s schemaless nature allows greater flexibility or changing application requirements. It’s one of the best databases in terms of developer productivity.

MongoDB is also a document-oriented NoSQL database used for high volume data storage. In this course you will learn how Mongodb can be accessed and its important features like indexing, regular expression, sharding data, etc.


The primary purpose of building MongoDB is:-

Scalability
Performance

High Availability

Scaling from single server deployments to large, complex multi-site architectures.

Key points of MongoDB

Develop Faster

Deploy Easier

Scale Bigger


MongoDB Course Curriculum:-
  
Objectives:

• Develop highly scalable and cost-efficient applications with MongoDB
• Build efficient MongoDB data models for enterprise-scale applications
• Enhance performance with indexing and sharding
• Manage consistency with write concern and read preference
• Process data and compute results with aggregation pipelines and MapReduce By the end of the MongoDB training, the students will be able to:
• Install and setup the MongoDB database
• Use the MongoDB shell to access the database
• Create, retrieve, update and delete data
• Use aggregation queries
• Appreciate the APIs used to interface with MongoDB
• Understand the document based structure of the database
• Use an API to develop applications
• Optimise queries with indexes
• Document based data modelling

 

• Create document collections
• CRUD operations with the Mongo shell
• Aggregation pipelines
• MongoDB transactions
• MongoDB access using programming languages
• Create indexes

 
 
Introduction to NoSQL Architecture with MongoDB

• What Is MongoDB?
• Downloading the required Software
• Installation and Configuration
• MongoDB Advantages
• MongoDB Data Modelling
• MongoDB Tools, Collection and Documents
• Configuration Files
• Touring the File Structure
• Securing the Installation

 
 
CRUD and the MongoDB Shell

• Introduction to CRUD
• Introduction to the MongoDB API
• Creating a Database, Collection and Documents

 
 
 
 
Data Modelling and Schema Design

• MongoDB Database References
• Model Tree Structures
• MongoDB Analyzing Queries
• MongoDB Atomic Operations
• MongoDB Map Reduce
• MongoDB Text Search

 

• MongoDB Regular Expression
• MongoDB Capped Collections
• Data Storage
• Working with Datatypes
• Collections
• Document Datatypes
• Creating _id Fields

 
 
Querying Data

• Databases and Collections
• Querying Collections
• Working with Operators
• Referencing a Database
• Querying Dates

 
 
Manipulating Data

• Inserting Data into Collections
• Updates
• Deletes
• Atomic Operations
• Removing Data
• Capped Collections

 
 
High Performance Options

• Creating Indexes
• Manipulating Index Behaviour
• Index Properties
• Specialised Index Types
• Replication
• Sharding

 
Aggregation  Framework

• Aggregating Results
• Single Purpose Functions
• The Aggregation Pipeline
• Date Aggregation Operators

 
 
Indexing

• Indexing and Aggregation
• Indexing, query profiling and the query optimizer
• Geospatial Indexes
• Index types, Index Properties
• MongoDB Advanced Indexing
• MongoDB Indexing Limitations
• Aggregation Introduction

 
 
Replication

• Replication Concept
• Failover & Recovery

 
Administration

• MongoDB Deployment and Cluster setup
• MongoDB GridFS
• Trident Spout
• Working with Replica Sets
• MongoDB Sharding
• MongoDB Create Backup

 
 
Using an API

• Introducing Drivers
• Java
• PHP
• Ruby
• Python

Updated on 08 February, 2021