MongoDB Training Course

Who should attend

Web-developers, programmers and database professionals who want to explore the flexible and scalable features of the MongoDB NoSQL database.

Prerequisites

Delegates should ideally have a background in scripting or coding / web development but are not assumed to have existing SQL / NoSQL skills, (a basic understanding of databases would be useful though). We'll send you setup instructions prior to training to get the popular Docker container platform up and running on your machine so we can get off to a smooth start on the course.

On-site

If you've got a team to train or have specific requirements that would warrant on-site / custom MongoDB as we would be very happy to discuss ways in which we can deliver exactly the right course content at the technical depth your organisation requires.

Introduction

• NoSQL and Document Stores
• When to use MongoDB - and when not to
• Thinking in Documents and Collections

Installation

• Installing and using MongoDB with Docker (our recommended method)
• Installing MongoDB on Mac or Windows

Database, collections and documents

• How is data constructed and structured?
• Exploring the MongoDB shell
• Creating a Database, Collection and Document
• Simple CRUD examples (Create, Read, Update and Delete)
• Exercise

CRUD - a deeper dive

• A look at MongoDB’s flexible schema
• Exploring the `find` command
• Insert vs Upsert
• Update and Delete
• Bulk operations
• Looking at `explain()` (precursor to indexing and performance)
• Atomicity of Writes
• Exercise

(Optional for Java Developers:)
Connecting and running CRUD queries with the Java API

• MongoDB drivers
• Writing Crud examples
• Codec and CodecRegistry for object mapping
• Spring Boot + Embedded Mongo for Unit and Integration tests (if Java devs want this)
• Exercise

Indexing and performance

• Query Planner
• Single and multi-field Index
• Query performance
• When and how to improve a query performance
• Exercise

Aggregation Framework

• A look at Map-Reduce
• Difference with aggregation framework
• `$match` and `$group`
• Exploring aggregation stages
• Exercise

Replica Sets

• Replication and redundancy
• When things go wrong (automatic failover and elections)
• Reading secondary nodes for better performance
• Oplog
• Data synchronisation
• Exercise

Extra topics (if we have time)

• A look at sharing
• Text indexes
• Geospacial indexes and searches