Software Training Institute in Chennai with 100% Placements – SLA Institute

MongoDB Course Syllabus

(2709)
Live Online & Classroom Training
duration
2-3 Months
EMI
0% Interest
Mode
Live Online & Classroom Training
Enroll in SLA Institute's MongoDB Developer Certification course and acquire the skills needed for full-stack web development, including MongoDB, Express.js, React.js, and Node.js. Our course provides hands-on experience through practical projects and expert guidance, preparing you to build dynamic web applications and responsive designs. Begin your learning journey with our MongoDB basics course and advance through the MongoDB full course, all while receiving comprehensive training and placement assistance for a successful career!

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Course Syllabus

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  • What in NoSQL?
  • Difference between NoSQL and RDBMS
  • Benefits of NoSQL
  • Objectives
  • Design Goals.
  • The Mongo Shell
  • JSON Introduction
  • JSON Structure
  • Installing Tools
  • Overview of Blog Project.
  • Swig, Express
  • Node Packaged Modules (npm)
  • CRUD (Creating, Reading & Updating Data) Mongo Shell
  • Query Operators
  • Update Operators and a Few Commands
  • Schema Design Pattern
  • Case Studies & Tradeoffs
  • Automatic Storage Class
  • Static Storage Class
  • External Storage Class
  • Register Storage Class
  • Performance Using Indexes,
  • Monitoring And Understanding Performance
  • Performance In Sharded Environments
  • Aggregation Framework Goals
  • The Use Of The Pipeline
  • Comparison With SQL Facilities
  • Application Engineering Drivers
  • Impact Of Replication And Sharding On Design And Development

In conclusion, the MongoDB Course Syllabus at SLA Institute helps people learn NoSQL database management well. They get hands-on training in storing data, querying, and doing real-time operations. This helps students get experience. The course prepares learners for jobs in modern development and careers in managing databases and developing applications with MongoDB. It helps build skills in MongoDB and NoSQL database management.

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