MongoDB Training (beginner to expert level) [Free online courses]

Description

MongoDB is a very popular NoSQL database that is fast and scalable. When scalability and speed are required, this database shines. It is a document database which imposes very little and has drivers for many programming languages. MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era.

Uplatz provides practical training on MongoDB with focus on real-world scenarios and examples. This MongoDB training course will get you familiar with this unique database and arm you with the essential skills to start using mongo to power your software application. This course will teach you how to get mongo running, manipulate and query data, index for speed, and arm you with the essential skills required to start using Mongo.

As table-based databases struggle to cope with an ever-growing variety of data, this MongoDB training course will show you how its document-oriented nature will allow you to quickly build highly scalable applications. You will gain the skills to develop, administer, secure, and scale MongoDB-based applications, and acquire low-cost, data-driven applications with MongoDB as the back-end database.

This MongoDB course is designed to give delegates experience of installing and using the MongoDB database. It introduces delegates to the concept of a document-oriented database, then shows how to set up MongoDB for use. Delegates use the built-in shell and various APIs to build a database access application and manipulate data. We also investigate optimising queries using indexes and aggregating data with MongoDB functions.

The course ends with some popular interview questions that you will face in a MongoDB database developer/architect/DBA job role.

MongoDB Course Curriculum

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

MongoDB Course 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

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