MongoDB Training in Nepal

MongoDB Training in Nepal

MongoDB Training in Kathmandu, Nepal

Mode: Physical & Online Live Classes (Day/Night)

More than 19000+ students have started their career after getting certified from Broadway Infosys.

Updated On: 02/2026

Created On: 06/2022

Course Overview
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MongoDB is an open source document database capable of storing and processing data with high performance and convenient scalability. Unlike traditional RDMS systems MongoDB is a cross-platform document oriented database system categorized as a NoSQL database.

In comparison to Oracle and other popular database systems MongoDB is relatively new, however, it has sparked wider interests with its NoSQL features, MapReduce calculation capability and distributed key value store. In general, MongoDB is one of the finest databases for storing and processing of Big Data and anyone with its expertise has good career opportunity.

Benefits of MongoDB Training

  • MongoDB is flexible and scalable for storing large amounts of data.
  • It is powerful enough to work like a relational database management system (RDBMS).
  • Increasing demand of Big Analytics professionals with MongoDB expertise in developed IT industry
  • MongoDb expertise can fulfill the talent deficits of Data Scientists and Analytics Consultants who are in huge demand globally
  • Increasing community engagement in the form of MongoDB User Groups and MongoDB Customer Advocacy Hub.

Benefits of MongoDB Training at Broadway Infosys

  • Certified experts as instructors
  • Well-equipped training labs
  • Support for placement for deserving trainees
  • Interactive and participative classes
  • Flexible timing
  • Supervision of project work by instructors and industry experts

Our graduates are hired by 470+ companies in Nepal

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Our syllabus outlines are only the headlines of the major modules. For the complete understanding of the course, we provide a free counseling. Send your inquiry today!

Lesson 1:

  •     Understanding NoSQL (schema less database)
  •     Introduction to MongoDB (collection and documents)
  •     Database modeling and Schema design (using mongoose)
  •     Finding documents
  •     Using robomongo (ui based database system)
  •     Update, insert delete and upsert documents
  •     Aggregation in mongodb
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