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MongoDB - Syllabus, Fees & Duration

Module 1: Introduction to NoSQL

  • What Is NoSQL?
  • Why NoSQL databases are required
  • Types of NoSQL Database
  • NoSQL vs SQL Comparison
  • ACID & BASE Property
  • CAP Theorem
  • Benefits of NoSQL databases
  • Installation
  • Start and Stop the MongoDB process

Module 2: MongoDB Architecture

  • Document, Collection, Databases
  • JSON and BSON
  • Storage Engines
  • Read Path
  • Journaling
  • Write Path
  • Working Set
  • Capped Collection
  • Oplog collection
  • TTL Index
  • GridFS

Module 3: CRUD Operations

  • MongoDB Data Types
  • Inserting, Update, Deleting the documents
  • Querying the documents
  • Bulk insert operation
  • Updating multiple document
  • Limiting documents
  • Filtering documents

Module 4: Schema Design and Data modeling

  • Dynamic Schema
  • What is Data modeling?
  • RDBMS and MongoDB Data modeling difference
  • Embedding Document
  • Reference Document

Module 5: Indexes

  • Index concepts in MongoDB
  • Types of indexes
  • Indexes and its use cases
  • Creating Indexes
  • Managing Indexes
  • Index strategies

Module 6: Database Administration in MongoDB

  • Database status
  • Troubleshooting issues
  • Current Operations
  • Rotating log files
  • Users and Roles
  • Copy and Clone database
  • DB and Collection Stats
  • Explain plan
  • Profiling
  • Changing configuration files
  • Upgrading the database

Module 7: MongoDB: Backup and Security

  • Concept of backups
  • mongoexport/mongoimport
  • mongodump/mongorestore
  • Oplog backups
  • LVM Backups
  • Backups using MMS/Ops Manager
  • Purpose of security
  • Authentication and authorization
  • Role based access control

Module 8: Replication in MongoDB

  • Concept of replication
  • ReplicaSet member roles
  • Voting and Electing primary
  • Role of Oplog in replication
  • Read and Write Concern
  • Arbiter,Hidden and Delayed replica node
  • Priority settings
  • Replicaset nodes health check
  • Concept of resyncing the nodes
  • Rollbacks during failover
  • Keyfile authentication

Module 9: MongoDB Scalability

  • 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

Module 10: MongoDB Monitoring and Other Tools

  • MMS Manager
  • Ops Manager
  • Mongo utility commands
  • Mongo developer tools
  • MongoDB Atlas
  • MongoDB client drivers

Download Syllabus - MongoDB
This syllabus is not final and can be customized as per needs/updates
   
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MongoDB Jobs in Kannur

Enjoy the demand

Find jobs related to MongoDB in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobshybrid.com, indeed.co.in, shine.com etc.) based in Kannur, chennai and europe countries. You can find many jobs for freshers related to the job positions in Kannur.

  • Full Stack Developer
  • Databases Specialist
  • Database Admin
  • Consulting Engineer
  • Database Engineer
  • MongoDB Engineer
  • Database Administrator
  • Technology Engineer
  • Consulting Engineer
  • MongoDB Trainer

MongoDB Internship/Course Details

MongoDB internship jobs in Kannur
MongoDB MongoDB could be a collection of documents, it contains a group of key-value pairs. we teach you how to unleash the facility of MongoDB in incorporating data, performing real-time analytics, managing content, other functions. MongoDB, also called the NoSQL database program could be a free and open-source database program that uses JSON-like documents with schemas. Any organization has this database to store dynamic data in the cloud and on-premises environments. Complete, updated list. There aren't any tables in MongoDB. this will be possible with MongoDB, which can be as versatile because it's powerful. It supports replication; if the first server goes down throughout a transaction, then the secondary server handles the transaction without human interaction. it will store complicated structures easily, fetch the info more accurately. Relative databases have rigid schemes that limit flexibility with the data structure.

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