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MongoDB

15 Hours
Self-paced Training (pre-recorded videos)
USD 17 (USD 140)
Save 88% Offer ends on 30-Jun-2024
MongoDB course and certification
1215 Learners

About this 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.

Key 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.

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MongoDB

Course Details & Curriculum

Introduction to NoSQL Architecture with MongoDB

·        What Is MongoDB?

 

·        Downloading the required Software

 

·        Installation and Configuration

 

·        MongoDB Advantages

 

·        MongoDB Data Modelling

 

·        MongoDB Tools, Collection and Documents

 

·        Configuration Files

 

·        Touring the File Structure

 

·        Securing the Installation

 

 

 

CRUD and the MongoDB Shell

 

·        Introduction to CRUD

 

·        Introduction to the MongoDB API

 

·        Creating a Database, Collection and Documents

 

 

 

Data Modelling and Schema Design

 

·        MongoDB Database References

 

·        Model Tree Structures

 

·        MongoDB Analyzing Queries

 

·        MongoDB Atomic Operations

 

·        MongoDB Map Reduce

 

·        MongoDB Text Search

·        MongoDB Regular Expression

 

·        MongoDB Capped Collections

 

·        Data Storage

 

·        Working with Datatypes

 

·        Collections

 

·        Document Datatypes

 

·        Creating _id Fields

 

 

 

Querying Data

 

·        Databases and Collections

 

·        Querying Collections

 

·        Working with Operators

 

·        Referencing a Database

 

·        Querying Dates

 

 

 

Manipulating Data

 

·        Inserting Data into Collections

 

·        Updates

 

·        Deletes

 

·        Atomic Operations

 

·        Removing Data

 

·        Capped Collections

 

 

 

High-Performance Options

 

·        Creating Indexes

 

·        Manipulating Index Behaviour

 

·        Index Properties

 

·        Specialised Index Types

 

·        Replication

 

·        Sharding

 

Aggregation Framework

 

·        Aggregating Results

 

·        Single Purpose Functions

 

·        The Aggregation Pipeline

 

·        Date Aggregation Operators

 

 

 

Indexing

 

·        Indexing and Aggregation

 

·        Indexing, query profiling and the query optimizer

 

·        Geospatial Indexes

 

·        Index types, Index Properties

 

·        MongoDB Advanced Indexing

 

·        MongoDB Indexing Limitations

 

·        Aggregation Introduction

 

 

 

Replication

 

·        Replication Concept

 

·        Failover & Recovery

 

 

 

Administration

 

·        MongoDB Deployment and Cluster setup

 

·        MongoDB GridFS

 

·        Trident Spout

 

·        Working with Replica Sets

 

·        MongoDB Sharding

 

·        MongoDB Create Backup

 

 

 

Using an API

 

·        Introducing Drivers

·        Java

 

·        PHP

 

·        Ruby

 

·        Python


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Career Path

The MongoDB Developer draws an average salary of $111,436 per year depending on the knowledge and hands-on experience. The MongoDB Developer job roles are in high demand and make a promising career.

 

The MongoDB Developers have huge demand across various MNCs. The adoption of NoSQL tool in various companies can open up good job opportunities. The leading companies hire MongoDB Developer considering their mastery of MongoDB and its features.

 

The MongoDB course is ideally designed for programmers and those who aspire to build their career in database programming.

 

After pursuing MongoDB course the participants can pursue a wide range of career paths.

 

The following are the job titles:

 

·       MongoDB Programmer

 

·       MongoDB Developer

 

·       MongoDB Software Engineer

 

·       Full Stack Web Developer

 

·       Data Engineer

 

·       Big Data Developer

 

·       Database Developer/Administrator 

 

MongoDB Training course is worth for any developers who want to improve their big data processing and programming skills.

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