Introduction to MongoDB for Developers

Part 1

1.           Storage Basics

• What is a Storage Engine?
• WiredTiger Storage Engine
• In-Memory Storage Engine
• Encrypted Storage Engine

2.          MongoDB Document Model

• JSON and BSON
• MongoDB Data Types

3.           MongoDB Setup

• Lab: Atlas Setup / Local MongoDB Setup

4.          CRUD Basics

• Insert Command
• Find Command
• Query Operators
• Lab: Finding Documents
• Remove Command
• Updating Documents
• Lab: Updating Documents

5.           CRUD Advanced

• Bulk Writes
• Retryable Writes
• Find and Modify
• Transactions

6.           Performance Basics

• Indexes
• Lab: Creating Indexes
• Lab: Using explain()

7.           Aggregation Basics

• Aggregation Pipeline Concepts
• Aggregation Pipeline Stages
• Aggregation Pipeline Expressions
• Lab: Writing Aggregation Queries

Part 2

8.           Aggregation Advanced

• $lookup stage
• $graphLookup stage
• Lab: Using $graphLookup
• $expr operator
• Lab: Using $expr
• Faceted Search
• Type Conversions
• Advanced Expression Operators
• Date Expression Operators
• Expression Variables
• Aggregation Pipeline Optimizations
• Aggregation in a Sharded Cluster

9.           Replication Basics

• MongoDB Replica Sets
• Replica Set Use Cases
• Replication Mechanics

10.         Replication Advanced

• Using Write Concern to Tune Durability Semantics
• Using Read Concern to Tune Read Isolation
• Using Read Preference
• Replica Set Tag Sets

11.          Sharding Basics

• Sharding Concepts
• When to Shard
• What is a Shard Key?
• Zoned Sharding / MongoDB Atlas Global Clusters

12.         Sharding Advanced

• Components of a Sharded Cluster
• Sharding Mechanics
• Choosing a Good Shard Key

Part 3

13.         Schema Design

• Schema Design Core Concepts
• Common Patterns
• Lab: Data Model for an E-Commerce Site

14.         Security Basics

• Authentication & Authorization
• Lab: Creating an Admin User
• Lab: Creating a readWrite User
• Network Encryption
• Encryption at Rest
• Auditing

15.         Application Development and Drivers

• Application Development with MongoDB Drivers
• Lab: Driver Tutorial

16.         Performance Advanced

• Designing Compound Indexes
• Indexing Arrays
• Covered Queries
• Using hint() and Index Filters

This introductory-level course is for experienced application developers new to MongoDB.  .

Incoming attendees are required to have:

• Basic hands-on Java programming experience
• Prior experience working with databases (Such as MySQL, etc.)
• Basic understanding of Big Data Platforms

Working in a hands-on learning environment attendees will explore:

• Storage Basics
• MongoDB Document Model
• MongoDB Setup
• CRUD: Basics through Advanced Concepts
• Performance: Basics through Advanced Concepts
• Aggregation: Basics through Advanced Concepts
• Replication: Basics through Advanced Concepts
• Sharding: Basics through Advanced Concepts
• Schema Design
• Security Basics, Authentication & Authorization
• Application Development and Drivers