MongoDB Training/Course 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
  Course Fees    
10000+
20+
50+
25+

MongoDB Jobs in Bangalore

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

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

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MongoDB Internship/Course Details

MongoDB internship jobs in Bangalore
MongoDB it will store complicated structures easily, fetch the info more accurately. data is unbroken as a document using tables and rows as in a relational database. e. MongoDB might be a document-based, distributed database designed for modern application developers. There aren't any tables in MongoDB. Its NoSQL information works with knowledge very efficiently. you can experiment with database structures simply just wouldn’t be able to attain in SQL and other relative choices. 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. All the information is kept in JSON format, i. it's more relevant these days than ever for cloud-native applications.

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Poor organizations go through demolition, resettlement, accelerated land charges and a governance machine in which their neighborhood consultant shape has little power. The town's comparative benefit withinside the IT enterprise in India emanates from diverse factors, of which beneficial authorities coverage, excessive nice paintings force, and the supply of studies laboratories are a number of its essential determinants. But there's little neighborhood repre- sentation in those businesses. in or solomonbenjamin@ hotmail. For a contrasting ideology, but emphasizing the city situation, see Sassen, S (1994), Cities in a World Economy: Sociology for a New Century, Pine Forge Press. The 0. He has advised UNDP, the World Bank and the Swiss Agency for Development and Cooperation and is a touring school member of the National Law School in Bangalore. 33 hypothesis is guided closer to the enterprise-group linkage, and argues that there exists a sturdy hyperlink among the IT enterprise and the studies laboratories in Bangalore, which has helped underpin increase withinside the neighborhood IT enterprise. This paper indicates that an knowledge of poverty in towns together with Bangalore (frequently called India`s Silicon Valley) calls for greater atten- tion to the governance procedures wherein specific organizations compete for public invest- ments and guide. Most in their hyperlinks with authorities are with nation and countrywide parastatal businesses that manipulate maximum of Bangalore`s improvement func- tions and feature get admission to to maximum authorities funding.

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