The Firestore Data Modeling Course provides a foundation for modeling data relationships in NoSQL, while optimizing queries for performance, cost, and complexity. Determining the the optimal data model in Cloud Firestore is not an easy task because you need to anticipate your app’s UI/UX requirements in advance. Failure to consider the tradeoffs between various data models could lead to poor app performance and/or unnecessary cloud computing expenses. The goal of this course is to teach you the concepts necessary to make good decisions related to data modeling that minimize costs and maximize read performance.
Firestore Queries and Data Modeling
1h 5m 47s
English
Paid
Firestore Queries and Data Modeling is a 22-lesson 1 hour 5 minutes self-paced course by Fireship. The Firestore Data Modeling Course provides a foundation for modeling data relationships in NoSQL, while optimizing queries for performance, cost, and complexity.
Course facts
- Lessons
- 22
- Duration
- 1 hour 5 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- Fireship
- Price
- Premium
Topics Covered
- Core Concepts in Firestore.
- Comparisons to SQL data modeling.
- Advanced methods for reading and querying data.
- Relational data modeling concepts like one-to-one, one-to-many, and many-to-many.
- How to avoid common pitfalls and anti-patterns.
- Examples of data models for common real-world app features.
Who teaches Firestore Queries and Data Modeling? Fireship
Fireship (fireship.io) is the teaching brand of Jeff Delaney, a US developer behind the Fireship YouTube channel — one of the largest software-engineering channels on YouTube, with millions of subscribers tuning in for the channel's distinctive 100-second technology-explainer format. The fireship.io paid-course platform extends that approach into longer-form project-based courses.
The course catalog covers the modern web and mobile stack: React, Next.js, Angular, Svelte / SvelteKit, Vue, Flutter, Firebase (Jeff is a long-running Google Developer Expert for Firebase), Supabase, Stripe integration, AI / LLM features, and the broader full-stack JavaScript ecosystem. Course material favours fast-paced, project-based builds — students ship complete applications end-to-end rather than studying frameworks in isolation.
The CourseFlix listing under this source carries over 19 Fireship courses spanning that range. Material is paid; Fireship runs on per-course or membership pricing on the original platform. Courses are aimed at developers who learn best by shipping real applications fast.
What lessons are included in Firestore Queries and Data Modeling?
0:00
/ #1: Resources
All Course Lessons (22)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Resources Demo | 01:53 | |
| 2 | What is Firestore | 03:16 | |
| 3 | Firestore vs SQL | 02:18 | |
| 4 | Data Types | 03:10 | |
| 5 | Techniques | 03:44 | |
| 6 | Read free | 02:55 | |
| 7 | Query | 03:23 | |
| 8 | Indexes | 01:07 | |
| 9 | Security | 01:23 | |
| 10 | Cardinality free | 01:31 | |
| 11 | One-to-One | 02:01 | |
| 12 | One-to-Many | 02:20 | |
| 13 | Many-to-Many | 04:10 | |
| 14 | Duplication | 02:00 | |
| 15 | Aggregation | 01:28 | |
| 16 | Votes | 02:05 | |
| 17 | Role-Based Authorization | 03:25 | |
| 18 | Access Control List | 02:27 | |
| 19 | Hierarchy | 03:08 | |
| 20 | Follower Feed | 04:22 | |
| 21 | Top Five free | 11:44 | |
| 22 | Collection Group Queries | 01:57 |
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Frequently asked questions
What prerequisites are needed for this course?
The course assumes a basic understanding of databases and cloud computing concepts. Familiarity with general programming and SQL databases may be beneficial, although the course specifically covers the differences between Firestore and SQL. Prior experience with NoSQL databases can also help, but is not required.
What projects or applications will I build in this course?
While the course does not specify particular projects, it covers practical applications such as modeling different data relationships like One-to-One, One-to-Many, and Many-to-Many. These exercises help you understand how to structure data in Firestore to support various application needs.
Who is the target audience for this course?
The course is designed for developers and engineers who want to learn how to effectively model data in Google Cloud Firestore. It is suitable for those looking to optimize the performance and cost of their cloud-based applications through better data modeling practices.
How does this course compare in depth and scope to other Firestore courses?
This course focuses specifically on data modeling in Firestore, covering topics like cardinality, data duplication, and aggregation. It emphasizes optimizing queries for performance and cost, which may not be as thoroughly covered in more general Firestore courses.
What specific tools or platforms does this course cover?
The course primarily covers Google Cloud Firestore, a NoSQL database service. It discusses various tools and techniques to optimize Firestore queries, including the use of indexes and security features like Role-Based Authorization and Access Control Lists.
What topics are not covered in this course?
The course does not cover the setup or configuration of Firestore in detail, nor does it go into the specifics of UI/UX design. The focus is strictly on data modeling and optimizing queries for performance and cost in Firestore.
What is the expected time commitment for completing this course?
The course consists of 22 lessons. While the total runtime is not specified, learners should allocate time for studying each lesson, experimenting with data models, and understanding the concepts like collection group queries and security measures discussed throughout the course.