MongoDB for Developers Course Overview

MongoDB for Developers Course Overview

The MongoDB for Developers course is an extensive program designed to equip learners with the knowledge and skills necessary to work with MongoDB, a leading NoSQL database. It introduces developers to the world of non-relational databases, offering a deep dive into the nuances of working with document-based data structures as opposed to traditional relational databases.

Starting with an Overview - SQL/NoSQL, the course addresses when to choose between relational and NoSQL databases, the types of NoSQL stores, and key design considerations. Data Formats educates learners on the importance of JSON and BSON data formats and their benefits in MongoDB. In MongoDB Concepts, the course covers fundamental components like databases, collections, and documents, and details CRUD operations and indexing.

As the course progresses, participants learn advanced topics such as querying, aggregation, replication, and indexing strategies. The curriculum also includes lessons on MongoDB CRUD operations, advanced querying techniques, replication mechanisms, and effective indexing to optimize database performance.

By the end of the course, learners will be well-versed in MongoDB operations and best practices, which can aid them in earning valuable MongoDB certifications. With hands-on exercises and practical knowledge, developers can leverage this course to build scalable and efficient applications using MongoDB.

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  • Live Online Training (Duration : 24 Hours)
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  • Live Online Training (Duration : 24 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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  • Hands-on labs
  • 280+ Tests Questions (Qubits)




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Course Prerequisites

To ensure that you can fully benefit from the MongoDB for Developers course offered by Koenig Solutions, the following are the minimum required prerequisites:

  • Basic understanding of database concepts, including the differences between relational and non-relational databases.
  • Familiarity with the fundamentals of data storage and database design considerations.
  • Knowledge of data formats, especially JSON (JavaScript Object Notation), as it is extensively used in MongoDB.
  • Prior experience with any programming language (preferably JavaScript, Python, or Java) as the course may involve writing code snippets to interact with MongoDB.
  • Understanding of core programming concepts such as variables, loops, functions, and objects which will aid in grasping the course material.
  • Comfortable working with command-line interfaces, as MongoDB operations can be performed using the MongoDB shell.
  • An eagerness to learn and adapt to NoSQL database systems, as they differ significantly from traditional SQL databases.

While these are the basic prerequisites, having a proactive approach to learning and problem-solving will greatly enhance your experience and understanding of the MongoDB for Developers course.

Target Audience for MongoDB for Developers

Koenig Solutions' MongoDB for Developers course provides in-depth training on NoSQL databases, tailored for software professionals.

  • Software Developers and Engineers
  • Database Administrators (DBAs)
  • Backend Developers
  • Full Stack Developers
  • Data Architects
  • System Administrators
  • DevOps Engineers
  • IT Professionals looking to expand their database management skills
  • Data Analysts seeking to understand NoSQL databases
  • Application Developers working with large-scale, distributed systems
  • Professionals working with big data technologies
  • Technical Leads and Managers overseeing development teams
  • Graduates aiming to specialize in modern database technologies

Learning Objectives - What you will Learn in this MongoDB for Developers?

Introduction to the MongoDB for Developers Course Learning Outcomes:

Gain practical skills in managing and developing applications with MongoDB, focusing on data structures, querying, indexing, replication, and backup strategies for NoSQL databases.

Learning Objectives and Outcomes:

  • Understand the differences between relational and NoSQL databases, and learn when to utilize each type for specific application needs.
  • Grasp the various categories and examples of NoSQL stores, along with key datastore design considerations.
  • Learn about data formats with an emphasis on JSON and BSON, including the advantages of using BSON in MongoDB.
  • Acquire fundamental MongoDB concepts such as servers, connections, databases, collections, documents, CRUD operations, and indexes.
  • Develop the ability to construct and optimize queries in MongoDB using query expression objects, options, cursors, and the Mongo Query Language.
  • Perform Create, Read, Update, and Delete (CRUD) operations effectively within MongoDB collections.
  • Master advanced querying techniques, including joins, server-side vs. client-side querying, aggregation, grouping, projections, and MapReduce.
  • Comprehend the principles of replication, including the configuration and management of replica sets and the use of nodes for data processing and high availability.
  • Explore indexing strategies, learn to create and use different types of indexes to improve query performance, and understand their impact in replica sets and sharded clusters.
  • Gain knowledge in MongoDB backup and recovery processes, including the import and export of data and customization techniques for different scenarios.