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