MongoDB Training by Experts

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Our Training Process

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 Shepparton

Enjoy the demand

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

  • 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 Shepparton
MongoDB MongoDB could be a collection of documents, it contains a group of key-value pairs. Complete, updated list. MongoDB works with wealthy JSON Documents, supports a robust query language, Supports aggregations and different trendy use-cases similar to geo-based search, graph search, and text search. There aren't any tables in MongoDB. we teach you how to unleash the facility of MongoDB in incorporating data, performing real-time analytics, managing content, other functions. key-value pairs. It provides high performance, high accessibility, and automatic scaling to provide effective assortment Operations. Any organization has this database to store dynamic data in the cloud and on-premises environments. Instead, the documents can use the fields and structures that build the most sense for every application. Its NoSQL information works with knowledge very efficiently.

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