MongoDB Training For Admins, DBAs and OPS

Mammatus technology has MongoDB courses geared for DBAs, Architects, Java developers, PHP developers and Python developers. This page covers MongoDB training for Architects, DBAs, Admins and OPS.


This is a foundation course for MongoDB admins 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.


$5,500.00 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 Spring Data and Morphia. (Spring Data and/or Morphia training is extra. Call for details.)

Call for details 415-968-9037 or write

Java or any modern OO programming language like Python, Groovy, C#, etc.
Experience with Unix admin and/or DBA admin.

Ability to implement, maintain and evolve a MongoDB solution from a devOps, admin, and operations standpoint.


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
  • Setting up sharding (plus lab)
  • Setting up replication and replica sets (plus lab)
  • Monitoring and performance trouble shooting (plus lab)
  • Data-safety, journaling, (plus lab)