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MongoDB (basic to advanced)

Self-paced videos, Lifetime access, Study material, Certification prep, Technical support, Course Completion Certificate


Uplatz

Summary

Price
£12 inc VAT
Study method
Online, On Demand What's this?
Duration
12.9 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
  • Reed courses certificate of completion - Free

1 student purchased this course

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Overview

Uplatz offers this comprehensive course on MongoDB. It is a self-paced course with video lectures. You will be awarded Course Completion Certificate at the end of the course.

MongoDB is one of the most widely used NoSQL tools in the Big Data domain. MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use.

Some of the topics that are included in this MongoDB training are installation of MongoDB, JSON, data modelling and schema design. You will also gain enough expertise in the framework of data monitoring, indexing and aggregation.

This MongoDB training by Uplatz will help you master the leading document-oriented NoSQL database, MongoDB Architecture, CRUD, Schema Design, Data Modelling and Indexing using real-life case studies along with an understanding of NoSQL databases, design goals, requirement of NoSQL database/ MongoDB, MongoDB architecture and introduction to JSON and BSON among others.

Certificates

Certificate of completion

Digital certificate - Included

Course Completion Certificate by Uplatz

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

1
section
20
lectures
12h 53m
total
    • 1: Introduction, Installation, Configuration Preview 44:17
    • 2: CURD Operations (Update and Delete) 43:50
    • 3: Views 33:31
    • 4: Database References, Write Concern, Aggregation 51:37
    • 5: Operators - Query Projection, Comparison, Logical 33:04
    • 6: Operators - Evaluation, Array, Update 49:57
    • 7: Update Documents 46:20
    • 8: Introduction to Mongo Shell 59:38
    • 9: Collection Methods 1:01:10
    • 10: Cursor and Database Methods 42:52
    • 11: Bulk Operation Methods, Indexes, Storage 52:34
    • 12: Replication 44:27
    • 13: Deploying the Replication 39:36
    • 14: Sharding 38:57
    • 15: Administering MongoDB 30:26
    • 16: Interview Questions - MongoDB 39:32
    • 17: Practical Demo - MongoDB 45:06
    • 18: MongoDB Booklet 06:00 PDF
    • 19: MongoDB Glossary 05:00 PDF
    • 20: MongoDB Interview Questions 05:00 PDF

Course media

Description

MongoDB is one of the most widely used NoSQL tools in the Big Data domain. MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use. Some of the topics that are included in this MongoDB training are installation of MongoDB, JSON, data modelling and schema design.

You will also gain enough expertise in the framework of data monitoring, indexing and aggregation. This MongoDB training will help you master the leading document-oriented NoSQL database, MongoDB Architecture, CRUD, Schema Design, Data Modelling and Indexing using real-life case studies along with an understanding of NoSQL databases, design goals, requirement of NoSQL database/ MongoDB, MongoDB architecture and introduction to JSON and BSON among others.

ey lectures under this MongoDB training are: Introduction to NoSQL database system, Implementation of JSON/BSON data types, Scope of NoSQL in real-world scenarios, Installation of MongoDB and associated tools, Concept of Sharding to learn scalability and availability, Performing CRUD operations to design schemas, Stack, Merge, and Strsplit functions and implementation, Data management using MongoDB, Database security risk and MongoDB security approach, MongoDB integration with Java and Jaspersoft, Working with unstructured data like images, videos, and log data, and more.

Who is this course for?

Everyone

Requirements

Passion to learn and succeed!

Career path

  • Full Stack Developer
  • Web Developer
  • MongoDB Application Developer
  • MongoDB Developer
  • Database Administrator - MongoDB
  • Cloud Support Associate - MongoDB
  • Frontend Developer and Backend Developer - Node.js, MongoDB
  • Database Developer
  • Back-end Developer
  • Software Engineer
  • Software Programmer
  • Solution & Technical Architect
  • Data Engineer
  • ETL Architect
  • Python Developer - Django/MongoDB

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FAQs

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