MongoDB training Overview
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.
Note: This class is taught using NodeJS, however, it can also be taught using Python, C#, or Java.
Location and Pricing
Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Store 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
Outline
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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
Conclusion
Training Materials
All students receive comprehensive courseware.
Software Requirements
- Computer with Internet connectivity
- Ability to install software on the computer
- Recent 64-bit OS, such as Windows 10, macOS, or Linux
- An IDE such as Visual Studio Code to use for writing and debugging code.
- NodeJS installed
