Learning MongoDB Schema, Indexes and Queries
Implementing good design ensures consistent performance at scale!
Created by Micheal Shallop
Explore how to design efficient MongoDB schemas, apply effective indexing strategies, and write practical queries for managing data at scale. Gain a deeper understanding of how proper design choices impact performance and discover best practices for working with collections and CRUD operations.
Packt | Aug 2018 | 387 min
What You Will Learn
You will work through real-world examples that show how schema design and indexing affect database performance. By practicing with hands-on queries and exploring different data types, you will learn to build collections that scale and respond quickly. Each concept is explained with practical demonstrations to reinforce your understanding.
Key Features
- Design scalable MongoDB schemas and understand when to denormalize data
- Apply indexing strategies to boost query performance and manage operational overhead
- Write and optimize CRUD queries to effectively manage and retrieve data
Target Audience
Ideal for developers and DevOps professionals with experience in Linux and cloud deployments, especially those familiar with relational databases. If you want to master MongoDB design, indexing, and querying to support scalable applications, this course will help you build those skills.
