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MongoDb training

MongoDB Overview

MongoDB is a database that helps store and manage large amounts of data in a flexible way. Unlike traditional databases that use tables, MongoDB stores data in documents (like JSON files), making it easy to handle different types of information. It is fast, scalable, and can manage big data efficiently. MongoDB is used for web apps, mobile apps, real-time analytics, and big data projects. It supports automatic data replication (backups) and sharding (splitting data across servers) for better performance. You can quickly add, update, and search for data using simple commands. It’s a great choice for modern applications that need speed and flexibility

Features Of Mongo DB

  • Scalability

  • NoSQL Database

  • High Performance

  • Aggregation Framework

  • Integration with Big Data & Cloud

  • Support for Multiple Programming Languages

  • Data representation is done in JSON or BSON

what we offer

  • Classroom Training

  • Real-Time Practice

  • Exclusive Study Materials

  • Course Certification

  • Ongoing Support

  • Job Assistance

our training inclueds

  • Theory &Hands-on Practical Sessions

  • Real-World Practice with Live Projects

  • Access to Exclusive Learning Materials

  • Certified Course Completion Recognition

  • Career Guidance & Job Placement Assistance

  • Ongoing Support & Mentorship

Mongo DB Training Course Content

  • Introduction
  • What is NoSQL?
  • Why NoSQL?
  • Features of MongoDB
  • Benefits of MongoDB
  • Types of MongoDB
  • Replication in MongoDB
  • MongoDB Transactions
  • MongoDB with Big Data
  • MongoDB Query Language (MQL)
  • MongoDB with Node.js/Python

  • Installing MongoDB on Windows & Unix.

  • Start MongoDB

  • Stop MongoDB

  • MongoDB Help & Commands

  • Create Database

  • Drop Database

  • Create Collection

  • Drop Collection

  • Data Types

  • Insert Document/Record

  • Update Document/Record

  • Delete Document/Record

  • Retrieving the documents

  • Projection in MongoDB

  • Batch Insert in MongoDB

  • Ordered Bulk Insert and Unordered Bulk Insert

  • Inserts: Internals and Implications

  • Specify Equality Condition

  • $in, “AND” Conditions

  • $or Operator

  • Specify AND/OR Conditions

  • Regular Expression

  • Array Exact Match

  • Array Projection Operators

  • $Where Query

  • Cursor

  • Pagination

  • Advance query option

  • $SET

  • $Unset and $inc Modifiers

  • $Push and $addToSet

  • Positional Array Modifications

  • JSON

  • BSON

  • MongoDB Structure

  • Document Store Example

  • MongoDB as a Document Database

  • Transaction Management in MogoDB

  • Easy Scaling

  • Secondary Indexes

  • Replication

  • Memory Management

  • Replica Set

  • Auto Sharding

  • Aggregation and MapReduce

  • Collection and Database

  • Introduction to Indexing

  • Types and Properties of Index

  • Sort Order

  • Text Indexes

  • Text Search

  • Index Creation

  • Index Creation on Replica Set

  • Remove, Modify, and Rebuild Indexes

  • Listing Indexes

  • Measure Index Use

  • Control Index Use

  • Index Use Reporting

  • Geospatial Indexes

  • MongoDB’s Geospatial Query Operators

  • Aggregation

  • Pipeline Operators and Indexes

  • Aggregate Pipeline Stages

  • apReduce

  • Aggregation Operations

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