MongoDB Certification Training

MongoDB Certification Training

₹10,990.00

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Are you a developer, database administrator, or data professional looking to master MongoDB, the leading NoSQL database? This certification course is designed for individuals seeking in-depth knowledge and practical skills in MongoDB, empowering you for diverse roles in application development, database administration, and cloud deployment.our background, experience, and career aspirations, the DevOps Manager Course is an excellent choice to enhance your leadership skills and excel in your DevOps managerial role.

  • Duration: 18 weeks
  • Format: Live online sessions (2 hours/day, 5 days/week)

  • Application Developer: Apply MongoDB in real-world scenarios, leveraging your skills in data modeling and CRUD operations.
  • Database Administrator: Administer MongoDB deployments, ensuring optimal performance, scalability, and security.
  • Data Professional: Specialize in MongoDB, utilizing cloud deployment and management skills, contributing to efficient data handling.
  • Cloud Database Engineer: Explore opportunities in cloud-centric roles, deploying and managing MongoDB in cloud environments.
  • Certification: Receive a recognized certification, validating your expertise in MongoDB, a valuable addition to your professional profile.

Embark on this MongoDB Certification Course to acquire the skills demanded by today’s technology landscape. Master MongoDB and open doors to exciting career opportunities. Let’s build the future of data together!

 

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Description

Welcome to our MongoDB Certification Course, where you’ll embark on a journey to master MongoDB, one of the most powerful NoSQL databases. Whether you’re a developer, administrator, or aspiring data professional, this course is designed to equip you with the skills needed to excel in MongoDB-related tasks.

Who Should Enroll:

  • Developers keen on mastering MongoDB for application development.
  • Database administrators aiming to enhance their MongoDB administration skills.
  • Data professionals looking to specialize in MongoDB and NoSQL databases.
  • Anyone interested in exploring cloud-based MongoDB deployments and security measures.

Outcome:

  • Comprehensive understanding of MongoDB and its application in various scenarios.
  • Practical skills in installation, data modeling, CRUD operations, cloud deployment, and administration.
  • Proficiency in security implementation, scalability, and high availability setups.
  • Certification demonstrating your expertise in MongoDB.

Join us on this MongoDB Certification Course journey, where theory meets practical application, and expertise is gained through hands-on experience. Let’s master MongoDB together!

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Course Outline
Module 1: Introduction to MongoDB - Architecture and Installation

Introduction to NoSQL and MongoDB

  • Differentiate database categories
  • MongoDB architecture and design goals
  • Introduction to JSON and BSON
  • MongoDB installation on Windows, Linux, MAC OS
  • Setup MongoDB environment

Hands-on Project: Installing and Configuring MongoDB

Module 2: Schema Design and Data Modelling

Understanding Data Modelling in MongoDB

  • Data Modelling Concepts
  • Analogy between RDBMS & MongoDB Data Model
  • Challenges in Designing a Data Model in MongoDB
  • Model Relationships and Tree Structures
  • Data Model Examples and Patterns

Hands-on Project: Data Modelling with Real-world Scenarios

Module 3: CRUD Operations

Functional Usage of CRUD Operations

  • MongoDB CRUD Introduction
  • Journaling and Query Optimization
  • Distributed Read & Write Queries
  • MongoDB Data Types
  • Performing CRUD operations using MongoDB shell

Hands-on Project: Implementing CRUD Operations in MongoDB

Module 4: MongoDB on the Cloud

Utilizing MongoDB Cloud Products

  • MongoDB Stitch
  • MongoDB Atlas
  • MongoDB Cloud Manager
  • MongoDB Ops Manager

Hands-on Project: Exploring MongoDB Cloud Manager

Module 5: MongoDB Administration

Administering MongoDB

  • Database Health Check
  • Backup and Recovery Methods
  • Data Import/Export
  • Monitoring MongoDB deployments
  • Optimization Strategies

Hands-on Project: MongoDB Administration Tasks

Module 6: Scalability and Availability

Setting up High Availability and Sharding

  • Replica Sets for High Availability
  • Sharded Clusters for Scalability
  • Data Partitioning with Chunks

Hands-on Project: Configuring Replica Sets and Sharded Clusters

Module 7: MongoDB Security

Ensuring Security in MongoDB

  • Authentication and Authorization
  • Integrating MongoDB with Java, Hadoop, Hive, Pentaho, Jaspersoft, and Robomongo

Hands-on Project: Implementing MongoDB Security Measures

Module 8: Application Engineering and MongoDB Tools

Developing and Deploying with MongoDB Tools

  • MongoDB Package Components
  • Configuration File Options
  • MongoDB Limits and Thresholds
  • Integration with R
  • Use of MongoDB Tools

Hands-on Project: MongoDB Tools Integration and API Usage

Module 9: Diagnostics and Fixes

Troubleshooting and Diagnosing MongoDB Issues

  • MongoDB Diagnostic Tools
  • Diagnostics Commands
  • Troubleshooting Production Scenarios

Hands-on Project: Resolving Real-time Production Issues

Module 10: Indexing and Aggregation Framework

Optimizing Performance with Indexing and Aggregation

  • Creating and Managing Indexes
  • Working with Geospatial Indexes
  • Aggregation Pipeline in MongoDB
  • MapReduce Framework

Hands-on Project: Utilizing Indexing and Aggregation for Performance

Certification Projects

Final Module: Real-World MongoDB Projects
  1. E-commerce Data Modeling:
    • Designing a MongoDB data model for an e-commerce platform.
    • Implementing CRUD operations for managing product catalogs, orders, and user profiles.
  2. Cloud-based MongoDB Deployment:
    • Deploying a MongoDB cluster on the cloud using MongoDB Atlas.
    • Configuring and optimizing the deployment for high availability and scalability.
  3. Secure Integration and Reporting:
    • Integrating MongoDB with various security measures in a Java application.
    • Generating reports using Pentaho and visualizations with Jaspersoft.
  4. Real-time Application Integration:
    • Integrating MongoDB with a real-time application using tools like Robomongo and R.
    • Implementing diagnostics and fixes for common production issues.
  5. Performance Optimization Project:
    • Implementing indexing and aggregation strategies for optimizing query performance.
    • Using the MongoDB Aggregation Framework to analyze large datasets.

 

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