MongoDB for Developers

MongoDB is a powerful database featuring a flexible document-oriented approach for organizing data rather than the traditional fixed-schema tabular model. With its robust durability and scalability...

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Course Code ACCEL-MONGO-DEV
Duration 2 days
Available Formats Classroom
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MongoDB is a powerful database featuring a flexible document-oriented approach for organizing data rather than the traditional fixed-schema tabular model. With its robust durability and scalability mechanisms, MongoDB became massively popular for workloads of any size. In this MongoDB for Developers training, attendees go well beyond the basics and learn advanced MongoDB skills important to those charged with running, monitoring, maintaining, and troubleshooting MongoDB clusters.

Skills Gained

All students will learn how to:

  • tore and query documents
  • Use the native driver
  • Apply performance tuning
  • Handle common errors
  • Understand durability, read preferences and write concerns
  • Stream data and Change Streams
  • Use transactions, transaction scope, and the new ACID transactions

Prerequisites

  • Some experience developing database backed applications.
  • 3 years of experience using JavaScript.
  • Understanding asynchronous programming

Course Details

Software Requirements

  • Computer with internet connectivity
  • Ability to install software on the computer
  • Recent 64-bit OS, such as Windows 10, Mac OS X, or Linux
  • An IDE such as VS Code to use for writing and debugging code.
  • NodeJS version 10 or above

MongoDB training Outline

Introduction

MongoDB Overview

  • What is MongoDB?
  • What is a Document-Oriented database?
  • The differences from relational databases
  • Databases, Collections, and documents

CRUD basics in the Shell

  • Creating document
  • Finding documents
  • Updating documents
  • Deleting documents

Driver Basics

  • Connecting to MongoDB
  • Connection Strings
  • The Mongo Client
  • Cursors
  • Simple CRUD
  • Type Fidelity

Aggregation

  • The Aggregation Pipeline
  • Major pipeline stages
  • Key aggregation operators

Creating Reports

  • Advanced filtering
  • Grouping and Projections
  • Key aggregation operators
  • Multi-stage pipelines

Replica Sets

  • Durability
  • Automatic failover
  • Elections and server roles
  • Read and write concerns
  • The Oplog

Error Handling

  • Common errors
  • Retriable errors
  • Applying write concerns

Indexing and Query Tuning

  • Index types
  • Index direction
  • Covering index
  • Query planner

Bulk Data

  • Import and export
  • Bulk

Conclusion

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