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MongoDB Certification Online Training

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Learners : 1080

Duration :  25 Days

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About Course

🌐 MongoDB Online Training

MongoDB is one of the most popular NoSQL databases designed for high performance, scalability, and flexibility in handling large volumes of unstructured data. This course focuses on building expertise in developing, managing, and optimizing MongoDB-based applications. Professionals trained in MongoDB are in high demand across data-driven industries, including web development, analytics, and cloud computing. The training offers hands-on experience in CRUD operations, schema design, indexing, aggregation, and performance tuning.

Its Core Capabilities Include:

  • Database Installation & Configuration: Learn to install and configure MongoDB on Windows, Linux, and cloud platforms.
  • CRUD Operations: Master create, read, update, and delete operations using the MongoDB shell and drivers.
  • Schema Design & Data Modeling: Design flexible, scalable data models for real-world applications.
  • Indexes & Aggregation Framework: Improve query performance and process data efficiently using MongoDB’s aggregation pipeline.
  • Replication & Sharding: Configure replication for high availability and implement sharding for horizontal scalability.
  • Backup & Security: Learn to secure databases with authentication, authorization, and encryption, along with backup and restore strategies.
  • Integration & Scripting: Integrate MongoDB with Node.js, Python, and other application frameworks.

📍 Bonus: Certification Tracks

  • MongoDB Certified Developer Associate
  • MongoDB Certified DBA Associate
  • NoSQL Database Professional
    MongoDB Professional (Viswa Online Trainings)

MongoDB Training Course Syllabus

Introduction to NoSQL

  • Theories to be covered,

    • What is NoSQL?
    • Why NoSQL databases are required
    • Types of NoSQL Database
    • ACID and BASE property
    • CAP Theorem
    • Benefits of NoSQL database
    • Installation
    • Start and Stop the Mongodb process Practical Session,
      • Setting a linux machine in AWS cloud or VM Ware,
      • Installing mongodb 3.2 on windows and Linux
      • MongoDB Configuration
      • Starting and stopping the process
      • connecting through mongo shell

     

Architecture
  • Theories to be covered,
  • Overview of Mongodb
  • Document, collection, Databases
  • JSON and BSON
  • ObjectID Data type Journaling
  • Storage Engine (WiredTiger, MMAP and In-memory)
  • Capped collection
  • TTL Index
  • GridFS
  • Practical Session
  • Creating/Dropping Database, collection
  • Understanding the storage engine
  • Creating capped collection and TTL Indexes
  • Default system collections
CRUD operations
  • Theories to be covered,
  • Create, Read, update & Remove the documents
  • Bulk insert operation
  • Updating multiple document
  • Sorting the documents
  • Limiting document
  • Filtering documents
  • Dropping the collections
  • Practical sessions
  • All the above topics

 

Data Modeling
  • Theories to be covered.
  • Dynamic Schema
  • What is modeling?
  • RDBMS and Mongodb Data modeling difference
  • Embedded Documents
  • Reference Documents
  • Practical Session:
  • Schema Creation
  • Creating Embedded document
  • Creating reference document
Indexes
  • Theories to be covered.
  • Introduction to Indexing
  • Types of indexes
  • Creating indexes
  • managing indexes
  • Index rebuilding.
  • Explain execution plans
  • Practical Session:
  • All the above topics
Standalone Database Administration
  • Theories to be covered.
  • Server & Database health check
  • Termination running operations
  • Managing the log files
  • Locking and connections
  • Profiling for performance issues
  • Changing configuration files
  • Authentication and Authorization
  • Users and Roles
  • Role based access control
  • Copy and Clone database
  • Troubleshooting issues
  • Upgrading the database
  • Practical Session:
  • All the above topics
Replication
  • Theories to be covered,
  • Concept of replication
  • ReplicaSet member roles
  • Voting and Electing primary
  • Role of Oplog in replication
  • Read and Write concern
  • Arbitor, Hidden and Delayed replica node
  • Priority setting
  • Replicaset nodes health check
  • Concept of resyncing the nodes
  • Rollbacks during failover
  • Keyfile authentication
  • Practical Session:
  • Building 2 node replica set using keyfile authentication
  • Add/Remove a node to existing replicaset
  • Changing priorities of noes, making delayed nodes and hindden nodes
  • Resync a member of Replicaset
  • Changing Oplog szie
  • Replicaset health checks
  • Handling rollbacks
  • Checking the read, write concerns
Sharding
  • Theories to be covered.
  • Concept of Scalability
  • Sharding concept
  • Shardkey and chunks
  • Choosing Shardkey
  • Sharding components
  • Types of Sharding
  • Balanced data distribution
  • Sharded and Non-sharded collection
  • Sharded ReplicaSet
  • Tag aware Sharding
  • Practical Session,
  • All of the Above
Mongo backup and restore
  • Theories To be covered
  • mongodump/mongorestore
  • oplog backups
  • LVM backups
  • backups using mms/ops manager
  • practical session:
  • mongoexport/mongoimport
  • mongodump/mongorestore
  • point in time recovery using oplog
Monitoring and Other Tools.
  • Theories to be covered.
  • MMS manager / Cloud Manager
  • Ops manager
  • mongo utility commands
  • mongo developer tools
  • Mongodb Atlas
  • Mongodb Client drives
  • Practicals to be covered
  • All the above
MongoDB Course Key Features
  • Live Instructor based training with software
  • Certification Oriented content
  • Hands-on complete Realtime training
  • Flexible schedule demo's & classes
  • Live recorded videos access
  • Study material provided
  • JOB Assistance

Course completion certificate

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MongoDB Online Training FAQ'S

What is MongoDB, and how is it different from traditional databases?

  • MongoDB is a NoSQL, document-oriented database that stores data in flexible JSON-like documents instead of rigid tables and schemas used in relational databases.

What is a collection in MongoDB?

  • A collection is a group of MongoDB documents, equivalent to a table in an RDBMS.

How do you create and display databases in MongoDB?

  • Use use <database_name> to create a new database and show dbs to display all existing databases.

What is the purpose of indexing in MongoDB?

  • Indexes improve the efficiency of queries by allowing faster data retrieval from large datasets.

What is the difference between replication and sharding?

  • Replication ensures data availability by duplicating data across servers, while sharding distributes data across multiple servers for scalability and load balancing.

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