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Master the fundamentals of MongoDB. Join now to learn from a MongoDB expert.

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MongoDB is an open-source NoSQL Database for facilitating the management program. It offers a traditional option If we talk regarding NoSQL databases then these are useful with the large sets of data for handling-controlled procedures. MongoDB is the tool for managing the document-oriented process of retrieving information. Resultantly, MongoDB Training in Noida increasing day by day.
Moreover, it makes out the use of records for maintaining the document as well as data. These are the basic pairs of documented data. Moreover, it will also incorporate the process of tackling with latest trends. As it also helps out users in automating the procedure for getting a smooth user experience. Thus, MongoDB Training Institute in Noida increasing it.

The MongoDB Training in Noida helps out in mastering the intricacies involved in NoSQL databases. It offers the facility to users for tackling new standards. We are considering its course curriculum in the below-mentioned details:

Mastering the data modeling, ingestion as well as other complicated procedures.

Range of SQL methodologies to understand.

Learning out development & analytical procedures.

Getting an introduction to engineering technologies.

Well-adapt to the latest trends.

After completing the course from MongoDB Training Institute in Noida you can get out an average salary in the range of Rs 5 lakh to Rs 10 lakh. With getting simultaneous experience in this domain, you can get out a salary in the range of Rs 29 lakh per annum on average.

There are NoSQL databases which is a cross-platform lead to object-oriented. Moreover, assist in the JSON format for maintaining effective communication for fulfilling our client objectives. Before enrolling in MongoDB Training Institute in Noida you must take a look at its course curriculum:

As we know that it gets based on the schema-less format for proceeding with the data storage concepts effectively. Moreover, with increasing internet access it has grown on a large scale.

MongoDB gets based out on the sharing concept as relies on vertical sharing where you can need out more CPU-based infrastructure for reskilling them.

Moreover, it leads to internal memory for storing & releasing data at an effective time. Optimizes out the Shema for frequent usage & transfers.

Handles out data requests, manages data access as well as identifies multiple platforms. It assists in making out the interactive networks throughout the organizational structure.

It can get used for solving ample business problems with advancing technology. Multiple cases need to be concerned out.

If we talk about the popularity of MongoDB then it comes apart in terms of technology & industrial arena. Even with its easy usage, it offers multiple technologies for tackling the recent features. Before going to MongoDB Training in Noida:

It is used for external libraries to shift from a frontend developer to becoming a Full Stack Developer. Moreover, MongoDB gets used for fulfilling the purpose of Mean Stack.

MongoDB gets built out on scaling out the architecture which becomes popular for developers of all kinds of scalable applications with data schemes.

It can build out for making out building the internet as well as business applications which need to evolve out for scalability & elegantly.

MongoDB gets available for major public cloud with the help of MongoDB Alias for the enterprise advanced edition.

It can use our user experience for developers which can install MongoDB & start writing out the codes immediately.

MongoDB is a great choice if you need active development throughout the organization. Moreover, scaling out the repository of a massive is to increase the profits of the organization. After completing a course from MongoDB Training Institute in Noida you have to perform out below-mentioned responsibilities in organizations:

Installation as well as the configuration of MongoDB.

Performing the backups as well as the recovery operations.

Relating to database integration & migration.

Working with the cloud manager & mentoring.

Handling out cloud management.

After MongoDB Training in Noida, multiple organizations get to hire professionals. These organizations are Wipro, TCS (Tata Consultancy Services), IBM, United Technologies, HCL, and others.

As your course gets completed from MongoDB Training Institute in Noida get out the 100% internationally recognized certificate. It helps out you in become more job-oriented for tackling issues going in the industrial arena.

Related Courses to MongoDB Training in Noida

MongoDB Training in Gurgaon

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Why should you learn MongoDB?

MongoDB helps out in sorting all kinds of data.

It helps out in saving a lot of time for project completion.

MongoDB is easy to learn due to its adaptation.

It provides out the knowledge of multiple options.

MongoDB helps out in strong as well as retrieving data.

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CURRICULUM & PROJECTS

MongoDB Training Program

Goal: In this module, you will get an understanding of NoSQL databases, design goals, requirement ofNoSQL database/ MongoDB, MongoDB® architecture and introduction to JSON and BSON amongothers. This module will also cover the installation of MongoDB® and associated tools.

Understanding the basic concepts of a Database

Database categories: What is NoSQL Why NoSQL Benefit over RDBMS

Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property

CAP Theorem, implementing NoSQL and what is MongoDB

Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools

Understanding the following: Collection, Documents and Key/ Values, etc.,

Introduction to JSON and BSON documents

Environment setup (live Hands-on) and using various MongoDB tools available in the MongoDB Package

Case study discussion

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Goal: In this module, you will learn Schema Design and Data Modelling in MongoDB®, various datastructure and tools available to manage Data Model in MongoDB.

Data Modelling Concepts

Why Data Modelling Data Modelling Approach

Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model (Embedding & Linking)

Challenges for Data Modelling in MongoDB

Data Model Examples and Patterns

Model Relationships between Documents

Model Tree Structures

Model Specific Application Contexts

Use Case discussion of Data modeling

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Goal: In this module, you will get an understanding of CRUD Operations and their functional usage.You will learn how to perform read/write operations with CRUD.

MongoDB Development Architecture

MongoDB Production Architecture

MongoDB CRUD Introduction, MongoDB CRUD Concepts

MongoDB CRUD Concerns (Read & Write Operations) –

Concern Levels, Journaling, etc.,

Cursor Query Optimizations, Query Behavior in MongoDB

Distributed Read & Write Queries

MongoDB Datatypes

MongoDB CRUD Syntax & Queries (Live Hands on)

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Goal: In this module, you will learn about various cloud products offered by MongoDB and how theycan be used to host or manage your MongoDB deployments.

Overview of MongoDB Cloud products

Using Cloud Manager to monitor MongoDB deployments

Introduction to MongoDB Stitch

MongoDB Cloud Atlas

MongoDB Cloud Manager

Working with MongoDB Ops Manager

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Goal: In this module you will learn MongoDB® administrative activities such as Health Check, Backup,Recovery, Data Import/Export, Performance tuning, etc.

Administration concepts in MongoDB

Monitoring issues related to Database

Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB

Database Profiling, Locks, Memory Usage, No of connections, page fault etc.,

Backup and Recovery Methods for MongoDB

Export and Import of Data to and from MongoDB

Run time configuration of MongoDB

Production notes/ best practices

Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks.

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Goal: In this module, you will understand the setup and configuration of MongoDB® High Availability, Disaster Recovery, and Load Balancing.

Introduction to Replication (High Availability)

Concepts around Replication

What is Replica Set and Master Slave Replication

Type of Replication in MongoDB

How to setup a replicated cluster & managing replica sets etc.,

Introduction to Sharding (Horizontal Scaling),

Concepts around Sharding, what is shards, Key,

Config Server, Query Router etc.

How to setup a Sharding,

Type of Sharding (Hash Based, Range Based etc.), and Managing Shards.

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Goal: In this module, you will learn security related with MongoDB, Integration with various tools and technology. Also, you will learn to integrate it with various reporting and Analytical tools like Pentaho, Jaspersoft etc.

Security Introduction

Security Concepts

Integration of MongoDB with Jaspersoft

Integration of MongoDB with Pentaho

Integration of MongoDB with Hadoop/Hive

Integration of MongoDB with Java

Integration of MongoDB with GUI Tool Robomongo

Case Study MongoDB and Java

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Goal: In this module, you will learn MongoDB® tools to develop and deploy your applications. This module will also help you understand the multiple package components and advance concepts related to MongoDB integration, Hadoop and MongoDB integration.

MongoDB Package Components

Configuration File Options

MongoDB Limits and Thresholds

Connection String URI Format/ Integration of any compatible tool with MongoDB API and Drivers for

MongoDB

MMS (MongoDB Monitoring Service)

HTTP and Rest Interface

Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive)

Integration with R

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Goal: In this module, you will learn some of the common real-time scenarios you might find in production and how they can be fixed, once identified.

Overview of tools

MongoDB Diagnostic Tools

Diagnostics Commands

MongoDB Deployment

Setup & Configuration, Scalability, Management & Security

Slow Queries

Connectivity

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Goal: In this module, you will learn the Indexing and Aggregation Framework in MongoDB®.

Index Introduction, Index Concepts, Index Types, Index Properties

Index Creation and Indexing Reference

Introduction to Aggregation

Approach to Aggregation

Types of Aggregation (Pipeline, MapReduce & Single Purpose)

Performance Tuning.

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