Introduction to MongoDB for Developers
Explore MongoDB Query Language: Storage Basics, CRUD, performance, Aggregation, Replication, Sharding, Security & More
Geared for experienced developers, Introduction to MongoDB for Developers is a hands-on course that provides students with comprehensive coverage of and hands-on experience with the MongoDB query language and aggregation framework, data modeling, indexes, drivers, basic performance tuning, high availability and scaling. Throughout the course, students will explore the MongoDB Atlas database environment.
Duration
3 days/24 hours of instructionPublic Classroom Pricing
Starting at: $2195(USD)
$2743.75(CAD)
GSA Price: $1646.25
Group Rate: $2095
Private Group Pricing
Have a group of 5 or more students? Request special pricing for private group training today.
Get the full details on this course. Download the .PDF Brochure below:
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