Introduction to MongoDB

Introduction to MongoDB

Bascom Bridge’s Introduction to MongoDB course teaches participants how to use the MongoDB open-source NoSQL document database. Attendees learn Mongo’s most compelling use cases and master the fundamentals of Mongo’s features.

MONGODB TRAINING OBJECTIVES

All students will:

• Understand Mongo as a data store
• Be comfortable with Mongo’s query and update languages
• Work with the common use-cases and architectures of Mongo
• Use Mongo’s built-in JavaScript interpreter
• Query Mongo using Mongo’s JSON-based query language
• Index Mongo collections
• Handle data with Mongo’s built-in MapReduce capabilities.

MONGODB TRAINING PREREQUISITES

All students should be familiar with basic programming in almost any scripting or object-oriented language (command-line scripting, database programming, or application programming), and have some experience with any SQL or NoSQL database.

MONGODB TRAINING MATERIALS

All attendees receive comprehensive courseware and a related textbook.

SOFTWARE NEEDED FOR EACH PC:

• Modern operating system (Windows, Mac, Linux, or Solaris) with at least 3 GB RAM
• MongoDB 2.x or later (2.6.x or later recommended)
• Text editor with line numbering and code highlighting
• For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor’s screen simultaneously with working on their own.

MONGODB TRAINING OUTLINE

• Introduction
• What is MongoDB?
  • The current SQL/NoSQL landscape
  • Document-oriented vs. other types of storage
  • Mongo’s featureset
  • Common use-cases
  • Introduction to JSON
• Documents and Collections
  • Creating documents
  • Managing documents in collections
  • Iterating over documents
• Simple Queries
  • Field equality tests
  • Operators available
  • Projections
  • Limiting results and paging
• Simple Updates and Deletes
  • Field updates
  • Field insertions and removal
  • Document deletion
• More Complex Types of Queries
  • Existential field values
  • Aggregations and groups
  • Aggregations and groups in hierarchical data
• Updates and Arrays
  • Altering array field elements
  • Insertion to array fields
  • Removing from array fields
• Indexing 1
  • The primary index and the _id field
  • Problems requiring an index
  • Defining secondary indexes
  • Compound indexes
• Indexing 2
  • Index selection
  • Index hints
  • Covering indexes
  • Index storage size
  • Indexes effect insertion and update speeds
• Mongo RESTful API
  • CRUD operations through REST
• MapReduce
  • Explanation of MapReduce
  • Types of logic that can be expressed as MapReduce declarations
  • Mapping documents
  • Reducing values
• Mongo Security
  • Authorization and securing collections, documents
  • The limits of Mongo’s authorization scheme
  • Authentication
  • Mongo in the enterprise
• Mongo Replication and Sharding
  • Configuring replication
  • Configuring sharding
  • Accessing clustered data from client APIs
  • Latency and consistency in replicated and sharded Mongo
• Conclusion