MongoDB Developer Certification Course

Course Overview

MongoDB is the most popular NoSQL database. It is a document-based database. It allows documents, arrays, and complex hierarchical relationships using a single record. It uses JSON-like documents for storage and retrieval It's better than relational data models because it allows us to sort the unstructured data with ease. The MongoDB benefits are wide and amazingly helpful. This program will enrich you with MongoDB knowledge in performing all the tasks effectively. By the end of this program, you will become a MongoDB professional and will be able to handle real-time scenarios with ease. MongoDB query language is based on javascript.

Key Features

Introduction of MongoDB and NoSQL databases
Installation of MongoDB
Concepts on how to perform CRUD operations against huge data in a NoSQL database
In-depth knowledge of working with collections and MongoDB documents.
Introduction of Mongo shell
Knowledge of MongoDB types
Prepare you with MongoDB interview questions during the hiring
Guide you in building MongoDB developer resume
Assist you with companies providing MongoDB internship

Who Should Take This MongoDB Developer Course?

This MongoDB course primarily benefits professionals who already in the database and developer domain. It is also beneficial for professionals who want to upskill their roles in the industry. And also individuals who want to pursue a career in database or MongoDB environment.

Top Hiring Company

Industry Trends

Course curriculum / Syllabus

Introduction to MongoDB

What is MongoDB?
Understand MongoDB Features
MongoDB on the Web
Positioning of MongoDB
MongoDB Applications
MongoDB Data Model
MongoDB Limitations
MongoDB Use Cases
MongoDB Query Language (QL)
The CRUD Operations
The find Method
The findOne Method
A MongoDB Query Language (QL) Example
What are Inserts?
MongoDB vs Apache CouchDB
Summary

MongoDB Data Model

The BSON Data Format
Database Terminology
MongoDB Data Model
The _id Primary Key Field Considerations
What are Indexes?
(Traditional) Data Modeling in RDBMS
Data Modeling in MongoDB
Data Model example in MongoDB
MongoDB Data Modeling
A Sample JSON Document Matching the Schema
To Normalize or Denormalize
MongoDB Limitations
Data Lifecycle Management
Data Lifecycle Management: TTL
Data Lifecycle Management: Capped Collections
Summary

MongoDB Architecture

MongoDB Architecture
Blending the Best of Both Worlds
What Makes MongoDB Fast?
Pluggable Storage Engines
What is Data Sharding?
Sharding in MongoDB
Understand Data Replication
A Sample Sharded Cluster Diagram
Concept of GridFS
Getting a File from GridFS
MongoDB Security
Understand Authentication
Data and Network Encryption
Summary

MongoDB Administration

The Admin Shell
Getting Help
Admin Commands
Starting MongoDB
Running MongoDB JavaScript Scripts
Shell Helper to JavaScript Equivalent Map
A MongoDB Script Example
Connecting to MongoDB
User Authentication
Authentication Options
Import / Export Operations
MongoDB Extended JSON and Strict Mode
Examples of Extended JSON Encoding
Examples of Data Import / Export
The Robo3T Tool
What are Robo 3T Connections?
Working of Connection Manager
Viewing Databases, Collections and Documents
Edit Capabilities
Admin Shell
Summary

Working with Data in MongoDB

Reading Data in MongoDB
The Query Interface
Query Syntax is Driver-Specific
Concept of Projections
Query and Projection Operators
MongoDB Query to SQL Select Comparison
What are Cursors?
Understand Cursor Expiration
Writing Data in MongoDB
An Insert Operation Example
The Update Operation
Update Operation Options
An Update Operation Example
A Remove Operation Example
Limiting Return Data
Performing Data Sorting
Aggregating Data
Aggregation Stages
What are Accumulators
An Example of an Aggregation Pipe-line
Map-Reduce
Summary

Indexes in MongoDB

Indexes in MongoDB
Creating an Index
Listing Existing Indexes
The Sort Order
Using the Explain() Method
Main Index Types
The _id Field
Single and Compound Indexes
Multikey Indexes
Other Index Types
Index Properties
Examples of Creating Indexes with Index Properties
Summary

Accessing MongoDB from Node.js

Getting Started
The Connection URL
Obtaining a Collection
Inserting Documents
Updating a Document
Querying for Documents
Deleting a Document
Connection Pooling
Summary

MongoDB Java Client

Accessing MongoDB from a Java Client
The MongoDB Java Driver
How to Synchronous Driver while developing a Java Application
Connecting to MongoDB
Connecting to Mongo - Legacy API
Connecting to Mongo - Updated API (since 3.7)
Connection Options and the MongoClientURI
Using MongoClientURI
Connecting to a Replica Set
Connecting to a Sharded Cluster
Connection Configuration
Connecting and Accessing a Collection
Create a Collection
Insert a Document
Update a document
Update Operators
Performing Read (Find)
Read (Find) Multiple Documents
Performing Delete process
BSON Library
Impedance Mismatch
Morphia Object Mapper
Setup MongoDB Java Client
Connecting to the client
Mapping with the client
Simple Mapping
Saving Data
Writing and processing Queries
Summary

Securing MongoDB

Security Overview
Your Mileage May Vary
Security is Your Responsibility
First Things First
MongoDB Security
A MongoDB Security Checklist
Enable Access Control and Enforce Authentication
Configure Role-Based Access Control
Enable Authorization
Create an Admin User
Create a Database User
Protecting Data in Transit
Protecting Data at Rest
Limit Network Exposure
Audit System Activity
Run MongoDB with a Dedicated User
Run MongoDB with Secure Configuration Options
Compliance
Summary

MapReduce in MongoDB

The Client – Server Processing Pattern
Distributed Computing Challenges
MapReduce Defined
Google's MapReduce
MapReduce Phases
The Map Phase
The Reduce Phase
MapReduce Word Count Job
MapReduce Shared-Nothing Architecture
Similarity with SQL Aggregation Operations
Problems Suitable for Solving with MapReduce
Typical MapReduce Jobs
Fault-tolerance of MapReduce
Distributed Computing Economics
MapReduce in MongoDB
Example - part 1
Example - part 2
Example – Part 3
Example – Part 4
Example – Part 5
Example – Part 6
MapReduce vs Aggregation Pipelines in MongoDB
Summary

MongoDB Developer Training FAQ’s:

1.What is MongoDB?

MongoDB is an open-source document-based NoSQL database. It is used to sort large unstructured data that companies might have. It stores data in JSON-like documents which have dynamic schema.

2.What are the Mongodb types?

Some of the MongoDB types are

Min/Max Keys
Null
Numbers
String
Integer
Arrays
Object

3.How do I get MongoDB certification?

MongoDB Certification is provided by MongoDB University. MongoDB certification exams are taken online. It is a proctored exam which you can either take it from home or any of the recommended Prometric center. We also have our certification which is provided upon the completion of the course which is also based on the exam. Our certificate also has standing in the market which makes it easier for you to get hired.

4.What is the Exam format?

The exam consists of multiple-choice questions and provides you with 90 mins to complete them.

5.What is the cost of the exam?

MongoDB certification cost is USD 150 per attempt.

6.How long is my certification valid?

MongoDB certification is valid for the MongoDB version used. Every time a new version releases you have to take new certification for the version released.

7.What are the prerequisites?

There are no prerequisites required.

8.What is MongoDB update?

MongoDB updates are used to update documents into a collection. This process updates values in the documents. db.collection.update() is the syntax