MongoDB Training Course from Yuva Sakthi Academy offers the best classes to the delegates by skilled professionals at a cost-effective rate. The MongoDB training course makes the delegates expert in MongoDB installation, schema design, monitoring, data modeling, data indexing, and aggregation.

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MongoDB Training Course - Overview

The MongoDB Training from Yuva Sakthi Academy is best for database professionals, system analysts, software testers, software developers, database administrators, system administrators, and project managers.

MongoDB training will help you learn document-oriented MongoDB architecture, NoSQL database, CRUD, and schema modeling with the help of hands-on approaches, real-time industry projects, case studies, and more. The Yuva Sakthi Academy MongoDB training course helps you to acquire every mandatory skill needed to make you a MongoDB expert.

The MongoDB training course helps you master ingestion, data replication, data modeling, and query sharing with MongoDB. Apart from this, it also helps to learn the process of installing, maintaining, and updating the MongoDB environment.

The Yuva Sakthi Academy MongoDB course will also make the candidate proficient in MongoDB backup and configuration methods along with operational and monitoring strategies. A MongoDB training course completion certificate will be offered to the delegates who successfully complete the MongoDb training course with assignments.

According to Glassdoor.com, the salary range of MongoDB developer range from $44,000 to $170,500. The trainers of Yuva Sakthi Academy have more than a decade of experience in MongoDb and relevant fields.

About MongoDB Training Course

The course modules of MongoDB training are created by professionals who have good knowledge and skills in the latest MongoDB trends and updates. The MongoDB training course modules from Yuva Sakthi Academy holds mandatory concepts required to clear the MongoDB training exam and different types of job interviews.

MongoDB training course covers basic to advanced MongoDB concepts like MongoDB installation, schema design, data modeling, JSON, the framework of indexing, data monitoring, and aggregation. MongoDB training course also deals with data management, Merge, Stack, Strsplit function and implementation, sharding to learn availability, and scalability, MongoDB integration with Jaspersoft and Java, and more.

The MongoDB course provides an in-depth understanding of design goals, MongoDB architecture, NoSQL databases, MongoDB tools, BSON, JSON, install MongoDB on MAC OS, Linux, Windows, and more. Our MongoDB training will guide delegates in executing different projects, use cases, and real-world examples. The MongoDB course helps delegates to perform data modeling with different administration activities and MongoDb tools.

Yuva Sakthi Academy have a separate HR team who take care of the placement assistance for our delegates. We also provide soft skills training and exclusive aptitude training as a value-added service. There are teams to provide job guidance through profile enhancement tricks, CV writing practice, mock interview operations, and more for the candidates to clear the MongoDB job interviews.

Upcoming Training Batches

Yuva Sakthi Academy provides flexible timings to all our students. Here is the MongoDB Training Course Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Time Days Batch Type Duration (Per Session)
8:00AM - 12:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
12:00PM - 5:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
5:00PM - 9:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs

Syllabus of MongoDB Training Course

Introduction to NoSQL Architecture with MongoDB

  • What is Mongo DB
  • Installation and Configuration
  • Mongo DB Advantages
  • Mongo DB Data Modelling
  • Mongo DB Tools, Collection and Documents

CRUD and the MongoDB Shell

  • Introduction to CRUD
  • Introduction to the Mongo DB API
  • Creating a Database, Collection and Documents

Data Modelling and Schema Design

  • Mongo DB Database References
  • Model Tree Structures
  • Mongo DB Analysing Queries
  • Mongo DB Atomic Operations
  • Mongo DB Map Reduce
  • Mongo DB Text Search
  • Mongo DB Regular Expression
  • MongoDB Capped Collections

Administration

  • MongoDB Deployment and Cluster setup
  • MongoDB GridFS
  • Trident Spout
  • Working with Replica Sets
  • MongoDB Sharding
  • MongoDB Create Backup

Indexing

  • Indexing and Aggregation
  • Indexing, query Profiling and the query optimizer
  • GeoSpatial Indexes
  • Index types, Index Propertiex
  • MongoDB Advanced Indexing
  • Indexing Limitations
  • Aggregation Introduction

Trainer Profile of MongoDB Training Course

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

MongoDB Training Exams

Yuva Sakthi Academy is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our at Yuva Sakthi Academy is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this in leading MNC’s of the world. The is only provided after successful completion of our training and practical based projects.

Key Features of Our Training Institute

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One on One Teaching

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Flexible Timing

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Fully Practical Oriented Classes

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Class Room Training

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Online Training

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Corporate Training

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100 % Placement

Projects in MongoDB Training Course

Sales Pipeline Dashboard

Build a dashboard to get a clearer view of your sales pipeline and know where your leads are coming from, so that you can double down on your efforts there to meet your targets.

Sales Growth Dashboard

Build a dashboard to measure your sales team’s performance and how much revenue can be raised within a specific time frame.

Healthcare Data Dashboard

The MongoDB Training Healthcare Data dashboard for hospital managers to manage and identify patients’ risk from one screen.

Training Courses Reviews

I highly recommend the computer training institute for anyone who wants to improve their computer skills. The instructors are knowledgeable and patient, and they create a comfortable and supportive learning environment. The curriculum is well-structured and covers a range of topics, from basic computer operations to advanced programming languages.

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TOM DINESH

*Right place to learn new technologies *Self motivated staffs ... *This institution is a good start for emerging youngster who has a passion in their life I have trained for core Java. It was very useful to learn java from basic level. *The trainers are knowledgeable and real time worked employees. I like this institutions be hope with us. You are really reached your goals....

H

Harish Arjunan

One of the best academy to easy learn tally prime from kalpana mam one to one teaching is very excellent ..,coaching is very good and motivational person are here ...great service and excellent teach and friendly staff, good environment and comfortable to learn easily Thank you for wonderfull guide mam. ....

P

Priya Mohan

Frequently Asked Questions

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What are the primary use cases for MongoDB?

MongoDB is widely used for various applications, including:

  • Content Management: Storing and managing content for websites and blogs.
  • Real-time Analytics: Analyzing and processing large volumes of data in real time.
  • Mobile Apps: Backend services for mobile applications, providing flexible data storage.
  • IoT (Internet of Things): Handling data from sensors and devices in IoT platforms.
  • E-commerce: Managing product catalogs, customer data, and transactions.
  • Personalization: Customizing user experiences based on behavioral data.
  • Big Data: Storing and processing large datasets with high scalability.

These use cases leverage MongoDB's flexibility, scalability, and performance to address diverse application requirements.

How does MongoDB handle transactions?

MongoDB supports multi-document transactions for ACID (Atomicity, Consistency, Isolation, Durability) compliance:

  • Atomicity: Transactions are executed as all-or-nothing operations, ensuring either complete success or rollback.
  • Consistency: Transactions maintain database consistency constraints throughout their execution.
  • Isolation: Transactions operate independently and are isolated from other transactions until committed.
  • Durability: Committed transactions are durable and survive system failures.

These transactional capabilities allow MongoDB to handle complex workflows and ensure data integrity in transactional applications.

What are MongoDB Atlas and its benefits?

MongoDB Atlas is the cloud-based database service provided by MongoDB:

  • Scalability: Easily scale your database clusters with automated sharding and load balancing.
  • Security: Benefit from built-in security features, encryption at rest, and network isolation.
  • Availability: Ensure high availability with automated backups, point-in-time recovery, and cross-region replication.
  • Global Reach: Deploy clusters across multiple cloud regions to minimize latency and comply with data sovereignty requirements.
  • Managed Service: MongoDB Atlas handles database management tasks like monitoring, patches, and upgrades.
  • Integration: Seamlessly integrate with AWS, Google Cloud Platform, and Azure for comprehensive cloud infrastructure support.

These benefits make MongoDB Atlas a robust choice for deploying, managing, and scaling MongoDB databases in the cloud.

How does MongoDB handle data consistency in distributed environments?

MongoDB ensures data consistency in distributed environments through:

  • Replication: Using replica sets to maintain identical copies of data across multiple nodes.
  • Sharding: Partitioning data into shards to distribute workload and manage growth.
  • Read and Write Concerns: Offering configurable read and write operations with consistency guarantees.
  • Global Transactions: Supporting multi-document transactions across distributed clusters.
  • Consistency Models: Providing strong, eventual, and causal consistency levels based on application requirements.
  • Conflict Resolution: Resolving conflicts using timestamps and write concerns to maintain data integrity.

These mechanisms ensure that MongoDB maintains data consistency and integrity across distributed deployments.

How does MongoDB handle schema design?

MongoDB's schema design approach emphasizes flexibility and performance:

  • Dynamic Schemas: MongoDB documents can vary in structure, allowing schema evolution over time.
  • Embedded Data Models: Nesting related data within a single document to improve read/write performance.
  • Normalization vs. Denormalization: Balancing between normalized and denormalized data structures based on query patterns and data access requirements.
  • Indexing Strategies: Using indexes to optimize query performance and support efficient data retrieval.
  • Aggregation Framework: Performing complex data transformations and analytics using MongoDB's native aggregation capabilities.
  • Reference Patterns: Using references or linking documents to model relationships between entities.

By adopting these design principles, MongoDB enables developers to create efficient, scalable, and adaptable database schemas.

How does MongoDB handle data storage and retrieval?

MongoDB stores and retrieves data efficiently through:

  • Document Storage: Storing data in JSON-like BSON documents for fast read/write operations.
  • Query Language: Using MongoDB Query Language (MQL) for flexible and powerful data retrieval.
  • Indexes: Creating indexes on fields to improve query performance and support efficient data access.
  • GridFS: Storing and retrieving large files and binary data using MongoDB's file storage system.
  • Aggregation Framework: Performing data aggregation and complex transformations for analytics and reporting.
  • Full-Text Search: Supporting text search capabilities to query and retrieve textual data efficiently.

These features enable MongoDB to handle diverse data storage and retrieval requirements across different application scenarios.

How does MongoDB handle data consistency in distributed environments?

MongoDB ensures data consistency in distributed environments through:

  • Replication: Using replica sets to maintain identical copies of data across multiple nodes.
  • Sharding: Partitioning data into shards to distribute workload and manage growth.
  • Read and Write Concerns: Offering configurable read and write operations with consistency guarantees.
  • Global Transactions: Supporting multi-document transactions across distributed clusters.
  • Consistency Models: Providing strong, eventual, and causal consistency levels based on application requirements.
  • Conflict Resolution: Resolving conflicts using timestamps and write concerns to maintain data integrity.

These mechanisms ensure that MongoDB maintains data consistency and integrity across distributed deployments.

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Saravanampatti, Coimbatore – 641 035
Tamil Nadu, India.

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