MongoDB Training for Python Developers and Architects


This is a foundation course for Python developers who are planning to build and design applications using MongoDB. This course covers data modeling, queries and insert/update/deletes, an introduction to map/reduce and basic administration. This also covers the basics of MongoDB architecture including journaling, 
autosharding, and replica sets with guidelines when to use and not use these features.


$3,500.00 for onsite training includes up to five students (developers, technical managers, DBAs and/or architects only). Each additional student is $250.00 (no more than 15 students is recommended). The price includes two days of lab centric training excluding MongoDB and Django or one of the many popular Python MongoDB ORMs. (Django and MongoDB training is extra. Call for details.)

Call for details 415-968-9037 or write

Python or any modern OO programming language like Java, Groovy, C#, etc.

Ability to implement a MongoDB solution from a developer standpoint and understand the architecture well enough to avoid common mistakes.


Outline for MongoDB Training Course:

  • Introduction
    • Introduction to NoSQL Architecture with MongoDB
    • How does MongoDB compare to other NoSQL solutions and to traditional databases
    • MongoDB a gateway drug to NoSQL
    • Caveats and Problems that MongoDB is not good at solving
    • The sweet-spot for MongoDB
    • Installing and setting up MongoDB
  • Working with Database, Collections, Document, Fields
    • Using the console (with lab)
    • Introduction to MongoDB commands (with lab)
    • Creating a Database, Collection and Documents (with lab)
    • Simple Querying (with lab)
    • Understanding and working with indexes (with lab)
  • Architecture Deep Dive
    • Working with Replica Sets
    • What is the simplest setup to get started
    • Working with Journaling
    • Understanding data safety versus throughput tradeoffs
    • Autosharding: who should use it and tradeoffs
    • Massively scaling MongoDB
    • Know your application and don't kill a flea with a sledge hammer
  • Using the MongoDB Aggregation Framework
  • Using Map Reduce with MongoDB
  • Python and MongoDB
    • Setting up MongoDB and Python (pymongo) (with lab)
    • Working with Databases and Collections (with lab)
    • Creating documents (with lab)
    • Performing queries (with lab)
    • Working with aggregation API (with lab)
  • Optional Third day Working with MongoDB and Django or one of several MongoDB ORMs for Python