Introduction to MongoDB for Developers
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.
Retail Price: $1,995.00
Next Date: 08/07/2024
Course Days: 3
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Course Objectives
This skills-focused course is about 50% hands-on lab to lecture ratio, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert instructor, you'll 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
Course Prerequisites
This introductory-level course is for experienced application developers new to MongoDB. In order to gain the most from this course, you should have:
- Basic programming experience. Course examples leverage basic Java syntax, so experience with Java or another OO language will be helpful.
- Prior experience working with databases (Such as MySQL, etc.)
- Experience working in Linux and / or be comfortable working from the command line.
Course Agenda
- Storage Basics
- What is a Storage Engine?
- WiredTiger Storage Engine
- In-Memory Storage Engine
- Encrypted Storage Engine
- MongoDB Document Model
- JSON and BSON
- MongoDB Data Types
- MongoDB Setup
- Atlas Setup / Local MongoDB Setup
- CRUD Basics
- Insert Command
- Find Command
- Query Operators
- Lab: Finding Documents
- Remove Command
- Updating Documents
- CRUD Advanced
- Bulk Writes
- Retryable Writes
- Find and Modify
- Transactions
- Performance Basics
- Indexes
- Aggregation Basics
- Aggregation Pipeline Concepts
- Aggregation Pipeline Stages
- Aggregation Pipeline Expressions
- Aggregation Advanced
- $lookup stage
- $graphLookup stage
- $expr operator
- Faceted Search
- Type Conversions
- Advanced Expression Operators
- Date Expression Operators
- Expression Variables
- Aggregation Pipeline Optimizations
- Aggregation in a Sharded Cluster
- Replication Basics
- MongoDB Replica Sets
- Replica Set Use Cases
- Replication Mechanics
- Replication Advanced
- Using Write Concern to Tune Durability Semantics
- Using Read Concern to Tune Read Isolation
- Using Read Preference
- Replica Set Tag Sets
- Sharding Basics
- Sharding Concepts
- When to Shard
- What is a Shard Key?
- Zoned Sharding / MongoDB Atlas Global Clusters
- Sharding Advanced
- Components of a Sharded Cluster
- Sharding Mechanics
- Choosing a Good Shard Key
- Schema Design
- Schema Design Core Concepts
- Common Patterns
- Lab: Data Model for an E-Commerce Site
- Security Basics
- Authentication & Authorization
- Network Encryption
- Encryption at Rest
- Auditing
- Application Development and Drivers
- Application Development with MongoDB Drivers
- Performance Advanced
- Designing Compound Indexes
- Indexing Arrays
- Covered Queries
- Using hint() and Index Filters