MongoDB Developer and Administrator Course


Dooey MongoDB certification course skills up in ✔️writing java and NodeJs apps ✔️CRUD Operations using ✔️MongoDB tools to become a ✔️MongoDB Developer.

SKU: fdea55ada81a Category:

Program Overview:

This MongoDB certification course will help you master the concepts of MongoDB
development services, the most popular NoSQL database. You will learn how to handle data
storage, data modeling, ingestion, query, sharding, and data replication with MongoDB,
along with installing, updating, and maintaining the MongoDB environment. You will also
learn MongoDB configuration and backup methods, monitoring, and operational strategies.
You will be career-ready as a MongoDB professional upon completion.

Program Features:

  • 3 industry-based projects in the elearning and telecom domains
  • 6 hands-on lab exercises to be executed in a virtual machine
  • 60 demos explaining key concepts

Delivery Mode:

Blended – Online self-paced learning


Those wishing to take this MongoDB Certification course must have:

  • Fundamental knowledge of any programming language
  • Basic understanding of any database, SQL, and query language for databases
  • Working knowledge of Linux or Unix-based systems (recommended, but not mandatory)

Target Audience:

This MongoDB Certification course is ideal for professionals aspiring to launch a career in NoSQL
databases and MongoDB, including database administrators, database architects, software
developers, software architects, database professionals, project managers, IT developers, testers,
analytics professionals, research professionals, and system administrators.

Key Learning Outcomes:

When you complete this MongoDB course, you will be able to accomplish the following:

  • Develop expertise writing Java and NodeJS applications using MongoDB
  • Master the skills of replication and sharding of data in MongoDB to optimize read/write
    performance and perform installation, configuration, and maintenance of the MongoDB
  • Get hands-on experience creating and managing different types of indexes in MongoDB
    for query execution
  • Proficiently store unstructured data in MongoDB and develop skills for processing huge
    amounts of data using MongoDB tools
  • Gain proficiency in MongoDB configuration, backup methods, monitoring, and
    operational strategies
  • Acquire an in-depth understanding of how to manage DB Notes, Replica set, and master-slave

Course Curriculum:

Lesson 01 – NoSQL Database Introduction

  • What is NoSQL?
  • Why NoSQL?
  • Difference Between RDBMS and NoSQL Databases
  • Benefits of NoSQL
  • Types of NoSQL
  • Key-Value Database
  • Document Database
  • Column-Based Database
  • Graph Database
  • CAP Theorem
  • Mongo DB as Per CAP

Lesson 02 – MongoDB – A Database for the Modern Web

  • What is MongoDB?
  • JSON
  • BSON
  • MongoDB Structure
  • Document Store Example
  • MongoDB as a Document Database
  • Transaction Management in MongoDB
  • Easy Scaling
  • Scaling Up vs. Scaling Out
  • Vertical Scaling and Horizontal Scaling
  • Features of MongoDB
  • Secondary Indexes
  • Replication
  • Memory Management
  • Replica Set
  • Auto Sharding
  • Aggregation and MapReduce
  • Collection and Database
  • Schema Design and Modeling
  • Reference Data Model
  • Embedded Data Model
  • Data Types
  • Core Servers of MongoDB
  • MongoDB’s Tools
  • MongoDB Installation
  • Use Cases

Lesson 03 – CRUD Operations in MongoDB

  • Data Modification in MongoDB
  • Batch Insert in MongoDB
  • Ordered Bulk Insert and Unordered Bulk Insert
  • Inserts: Internals and Implications
  • Retrieving the documents
  • Specify Equality Condition
  • $in “AND” Conditions
  • $or Operator
  • Specify AND/OR Conditions
  • Regular Expression
  • Array Exact Match
  • Array Projection Operators
  • $Where Query
  • Cursor
  • Pagination
  • Advance Query Option
  • Update Operation
  • $SET
  • $Unset and $inc Modifiers
  • $Push and $addToSet
  • Positional Array Modifications
  • Upsert
  • Removing Documents

Lesson 04 – Indexing and Aggregation

  • Introduction to Indexing
  • Types and Properties of Index
  • Sort Order
  • Text Indexes
  • Text Search
  • Index Creation
  • Index Creation on Replica Set
  • Remove, Modify, and Rebuild Indexes
  • Listing Indexes
  • Measure Index Use
  • Control Index Use
  • Index Use Reporting
  • Geospatial Indexes
  • MongoDB’s Geospatial Query Operators
  • $GeoWith Operator
  • Proximity Queries in MongoDB
  • Aggregation
  • Pipeline Operators and Indexes
  • Aggregate Pipeline Stages
  • MapReduce
  • Aggregation Operations

Lesson 05 – Replication and Sharding

  • Introduction to Replication
  • Master-Slave Replication
  • Replica Set in MongoDB
  • Automatic Failover
  • Replica Set Members
  • Write Concern
  • Write Concern Levels
  • Write Concern for a Replica Set
  • Modify Default Write Concern
  • Read Preference
  • Read Preference Modes
  • Blocking for Replication
  • Tag Set
  • Configure Tag Sets for Replica set
  • Replica Set Deployment Strategies
  • Replica Set Deployment Patterns
  • Oplog File
  • Replication State and Local Database
  • Replication Administration
  • Sharding
  • When to Use Sharding?
  • What is a Shard?
  • Choosing a Shard Key
  • Range-Based Shard Key
  • Hash-Based Sharding
  • Impact of Shard Keys on Cluster Operation
  • Production Cluster Architecture
  • Config Server Availability
  • Production Cluster Deployment
  • Add Shards to a Cluster
  • Enable Sharding for Database and a Collection
  • Maintaining a Balanced Data Distribution
  • Splitting
  • Chunk Size and Type
  • Shard Balancing
  • Customized Data Distribution with Tag Aware Sharding
  • Tag Aware Sharding

Lesson 06 – Developing Java and Node JS Application with MongoDB

  • Capped Collection
  • TTL Collection Features
  • GridFS
  • MongoDB Drivers and Client Libraries
  • Develop Java Application with MongoDB
  • Connecting to MongoDB from Java Program
  • Create Collection From Java Program
  • Insert Documents From Java Program
  • Retrieve Documents Using Java Code
  • Update Documents Using Java Code
  • Delete Documents Using Java Code
  • Store Images Using GridFS API
  • Retrieve Images Using GridFS API
  • Remove Image Using GridFS API
  • Connection Creation Using Node JS
  • Insert Operations Using Node JS
  • Update Operations Using Node JS
  • Retrieve Documents Using Node JS
  • Using DB Cursor to Retrieve Documents
  • Mongoose ODM Module in Node JS
  • Defining Schema Using Mongoose

Lesson 07 – Administration of MongoDB Cluster Operations

  • Capped Collection
  • TTL Collection Features
  • GridFS
  • Memory-Mapped Files
  • Journaling Mechanics
  • Storage Engines
  • Power of 2-Sized Allocations
  • No Padding Allocation Strategy
  • Diagnosing Performance Issues
  • Optimization Strategies for MongoDB
  • Configure Tag Sets for Replica Set
  • Optimize Query Performance
  • Monitoring Strategies for MongoDB
  • MongoDB Utilities
  • MongoDB Commands
  • MongoDB Management Service (MMS)
  • Data Backup Strategies in MongoDB
  • Copying Underlying Data Files
  • Backup with MongoDump
  • Fsync and Lock
  • MongoDB Ops Manager Backup Software
  • Security Strategies in MongoDB
  • Authentication Implementation in MongoDB
  • Authentication in a Replica Set
  • Authentication on Sharded Clusters
  • Authorization
  • End-to-End Auditing for Compliance