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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 Dindigul

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 Dindigul, chennai and europe countries. You can find many jobs for freshers related to the job positions in Dindigul.

  • 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 Dindigul
MongoDB Learn from expert trainers with the best skills through the most effective sources. Complete, updated list. we teach you how to unleash the facility of MongoDB in incorporating data, performing real-time analytics, managing content, other functions. working with MongoDB NoSQL information is much easier than in operation with any relational database. as a result MongoDB doesn’t have a strictly defined, consistent schema it's a document store database. The CRUD operations are related to many further choices. It supports replication; if the first server goes down throughout a transaction, then the secondary server handles the transaction without human interaction. the globe is on the brink of an information overload, and large databases are required to store and manipulate this information. Complete, updated list. data is unbroken as a document using tables and rows as in a relational database.

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