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.
Accelebrate's MongoDB training goes well beyond basic MongoDB concepts and includes specific topics important to those charged with running, monitoring, maintaining, and troubleshooting MongoDB clusters. Students learn the basics of MongoDB as a database, including installation, basic querying, and data manipulation. Attendees also learn how to handle administrative tasks such as installation, backup, performance tuning, replica sets, and sharded clusters.
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
- Operate and install MongoDB clusters
- Learn basic data manipulation and query sytnax
- Work with performance tuning
- Understand monitoring
- Create a backup strategy
- Understand storage internals
- Work with Replica Sets and replication
- Understand Sharding and scalability
Prerequisites
- Have experience in developing database-backed applications
- Know basic JavaScript
- Be comfortable working in the shell (Bash or PowerShell or Cmd.exe)
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
Running MongoDB
- Zero-footprint using command line
- Using the Configuration file
- Understanding key configuration choices
CRUD basics
- Creating documents
- Finding documents
- Updating documents
- Deleting documents
Backup & Restore
- Backing up MongoDB
- Restoring MongoDB
- Storage snapshot
- Importing and exporting data
- Log rotation
Aggregation
- The aggregation pipeline
- Major pipeline stages
- Key aggregation operators
Replica Sets
- Durability
- Automatic failover
- Elections and server roles
- Read and write concerns
- The Oplog
Sharding
- Understanding sharding mechanics
- Sharded cluster components
- Creating a sharded cluster
- The sharding key and data distribution
Indexing and Query Tuning
- Index types
- Index direction
- Covering index
- Query planner
Monitoring
- Server Statistics
- Log and logging levels
- Profiling
- Using command line tools
Production Notes
- Sharding and Scale Up
- WiredTiger, memory and CPU
- Sizing Oplog
- OS specific notes
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
