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MongoDB

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Course offered by Uplatz

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Objectives:

  • Develop highly scalable and cost-efficient applications with MongoDB
  • Build efficient MongoDB data models for enterprise-scale applications
  • Enhance performance with indexing and sharding
  • Manage consistency with write concern and read preference
  • Process data and compute results with aggregation pipelines and MapReduce By the end of the MongoDB training, the students will be able to:
  • Install and setup the MongoDB database
  • Use the MongoDB shell to access the database
  • Create, retrieve, update and delete data
  • Use aggregation queries
  • Appreciate the APIs used to interface with MongoDB
  • Understand the document based structure of the database
  • Use an API to develop applications
  • Optimise queries with indexes
  • Document based data modelling 
  • Create document collections
  • CRUD operations with the Mongo shell
  • Aggregation pipelines
  • MongoDB transactions
  • MongoDB access using programming languages
  • Create indexes

 

 

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

About the Trainer

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225 Courses

Uplatz

Masters

10 years of industry experience

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