MongoDB Training (beginner to expert level)
2.9 (6 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,680 students enrolled

MongoDB Training (beginner to expert level)

Understand in-depth the concepts of MongoDB and apply them. Become a MongoDB Database Architect. Apply for MongoDB jobs.
2.9 (6 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,680 students enrolled
Created by Uplatz Training
Last updated 12/2019
English
English [Auto]
Current price: $62.99 Original price: $89.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 12.5 hours on-demand video
  • 16 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Understand what is MongoDB and its application
  • Prepare for MongoDB Certification
  • Introduction, Installation, Configuration of MongoDB
  • CRUD Operations (Create, Read, Update, Delete, Insert)
  • Data Modeling and Model Tree Structure
  • On-demand Materialized Views, Capped Collections, Text Search
  • Database References, Write Concern, Aggregation
  • Operators - Query Projection, Comparison, Logical
  • Operators - Evaluation, Array, Update
  • Update Documents, Field Update Operator, Array Update Operator, Bitwise Update Operator
  • Introduction to mongo Shell
  • mongo Shell Methods - Collection Methods, Cursor and Database Methods, Bulk Operation Methods
  • Indexes and Storage
  • Replication and Deploying the Replication
  • Sharding
  • Administering MongoDB
  • Interview Questions
  • Practical Demo
Requirements
  • Enthusiasm and determination to make your mark on the world!
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

Who this course is for:
  • Back-End Developers - MongoDB
  • MongoDB Database Architects
  • MongoDB DBAs
  • Full Stack JavaScript Developers (Node, Mongo, AWS, REST)
  • Data Engineers and Data Scientists
  • Big Data Developers and Analysts
  • ETL and Database Developers
  • Students aspiring for a career in MongoDB and Big Data
Course content
Expand all 17 lectures 12:36:43
+ Introduction, Installation, Configuration
1 lecture 44:16

Content:

  • Introduction & Basics

  • Installation and Configuration

  • CRUD Operations (Create and Insert)

  • MongoDB Advantages


Objectives:

  • What is MongoDB?

  • How MongoDB can be installed in Local Machine?

  • Basic CRUD op's (Create & Read)

Preview 44:16
+ CRUD Operations
1 lecture 43:50

Content:

  • CRUD Operations (Update and Delete)

  • Data Modeling

  • Model Tree Structure

  • Schema Validation


Objectives:

  • CRUD operation (Write & Delete)

  • How to work with Reference and Embedded Data Modeling?

  • Advantages over Data Modeling

  • How to find relationship between Parent, Child & Ancestors in Data?

  • How to Validate our data for large scale Application?

CRUD Operations (Update and Delete)
43:50
+ Views
1 lecture 33:30

Content:

  • Views

  • On-Demand Materialized Views

  • Capped Collections

  • Text Search


Objectives:

  • How to create Views and Advantages over that?

  • Difference Between Views and Collection

  • What is Capped Collection?

  • How the Text Search is working in Collection?

Views
33:30
+ Database References, Write Concern, Aggregation
1 lecture 51:36

Content:

  • Database References

  • Write Concern

  • Aggregation

  • Query and Projection Operators (Comparison Query Operator Introduction)


Objectives:

  • How to use Database Reference?

  • What is Write Concern in MongoDB?

  • What is Query Projection Operators and its types?

Database References, Write Concern, Aggregation
51:36
+ Operators in MongoDB
2 lectures 01:23:01

Content:

  • Query and Projection Operators

  • Comparison Query Operators

  • Logical Query Operators


Objectives:

  • Types of Query Projection Operations

  • Behavior and Usage in Collection

Operators - Query Projection, Comparison, Logical
33:04

Content:

  • Query and Projection Operators

  • Evaluation Query Operators

  • Array Query Operators

  • Update Operators


Objectives:

  • How to handle Collection with Array in Operators?

  • Introduction to Update Operator

Operators - Evaluation, Array, Update
49:57
+ Update Documents
1 lecture 46:19

Content:

  • Update Documents

  • Field Update Operator

  • Array Update Operator


Objectives:

  • How to Update the Embedded Field and Array Field in Collection?

Update Documents
46:19
+ Introduction to mongo Shell
1 lecture 59:38

Content:

  • ArrayUpdate Documents

  • Bitwise Update Operator

  • mongo Shell Methods (Introduction)


Objectives:

  • How to use Bitwise Operator in MongoDB?

  • Introduction to mongo Shell Methods

Introduction to mongo Shell
59:38
+ Methods in MongoDB
3 lectures 02:36:34

Content:

  • mongo Shell Methods

  • Collection Methods


Objectives:

  • What is Collection Methods and its usage?

mongo Shell Methods - Collection Methods
01:01:09

Content:

  • Cursor Methods

  • DataBase Methods


Objectives:

  • What is Cursor Methods and its usage?

  • What is Database methods and its usage?

Cursor and Database Methods
42:51

Content:

  • Bulk Operation Methods

  • Indexes

  • Storage


Objectives:

  • How can we do Bulk Operations with various methods?

  • What is Indexing?

  • How is Storage done in MongoDB?

Bulk Operation Methods, Indexes, Storage
52:34
+ Replication
2 lectures 01:24:02

Content:

  • Replication

  • Replication Set Members

  • Replication Data Availability


Objectives:

  • Introduction to Replication

  • How to check the data availability for replica set members?

Replication
44:26

Content:

  • Replication Set Deployment

  • Member Configuration Deployment

  • Export and Import Files


Objectives:

  • How to deploy the replication in local environment?

  • How to configure the replica members?

  • How to export and import json or csv file to mongo?

Deploying the Replication
39:36
+ Sharding
1 lecture 38:56

Content:

  • Sharding


Objectives:

  • What is Sharding and its usage in brief?

Sharding
38:56