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Noah Gift and Alfredo Deza

Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you.

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Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you.

While a fundamental knowledge of Rust is expected, you should ideally be comfortable with the basics of data structures and algorithms, and have a working understanding of databases and data processing. Familiarity with SQL, the command line, and version control with git is advantageous.

This four-week course focuses on leveraging Rust to create efficient, safe, and concurrent data processing systems. The journey begins with a deep dive into Rust's data structures and collections, followed by exploring Rust's safety and security features in the context of data engineering. In the subsequent week, you'll explore libraries and tools specific to data engineering like Diesel, async, Polars, and Apache Arrow, and learn to interface with data processing systems, REST, gRPC protocols, and AWS SDK for cloud-based data operations. The final week focuses on designing and implementing full-fledged data processing systems using Rust.

By the end of this course, you will be well-equipped to use Rust for handling large-scale data engineering tasks, solving real-world problems with efficiency and speed. The hands-on labs and projects throughout this course will ensure you gain practical experience, putting your knowledge into action. This course is your gateway to mastering data engineering with Rust, preparing you for the next level in your data engineering journey.

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What's inside

Syllabus

Rust Data Structures: Collections
This week, you will get started with the Rust development ecosystem, including AI coding tools, continuous integration, and cloud-based environments.
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Safety, Security and Concurrency with Rust
This week, you will explore Rust's safety, security, and concurrency capabilities including encryption, network segmentation, thread safety, and web crawling.
Rust Data Engineering Libraries and Tools
This week, you explore data processing in Rust. Manage data files and cloud storage. Build APIs and web scrapers. Power data engineering with Rust efficiency.
Designing Data Processing Systems in Rust
This week, build data pipelines. Ingest, process, store data. Create workflows, Lambdas, microservices. Deploy to cloud. Monitor and scale.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Focuses on enhancing data engineering skills with Rust
Assumes a basic understanding of Rust and related concepts
Goes over Rust's safety, security, and concurrency features
Covers libraries and tools used in data engineering with Rust
The emphasis on hands-on labs and projects
Instructors with experience in data engineering and Rust

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Engineering with Rust with these activities:
Read Designing Data-Intensive Applications
Introduces essential concepts like data modeling, data consistency, and distributed systems, offering a strong foundation for data engineering with Rust.
View Secret Colors on Amazon
Show steps
  • Skim through the table of contents to get an overview of the book's structure and topics covered.
  • Read each chapter thoroughly, taking notes on key concepts and ideas.
  • Complete the exercises and review questions at the end of each chapter to test your understanding.
Rust Data Structure Practice
Provides hands-on practice with Rust data structures, strengthening your understanding of their implementation and usage.
Browse courses on Data Structures
Show steps
  • Visit LeetCode or a similar platform for coding challenges.
  • Select problems related to data structures, such as arrays, linked lists, and trees.
  • Implement solutions in Rust, focusing on efficiency and correctness.
Explore Rust Data Engineering Tutorials
Exposes you to real-world examples and best practices for data engineering with Rust, complementing the theoretical knowledge gained in the course.
Show steps
  • Search for tutorials on websites like RustByExample, The Rustonomicon, or the Rust Programming Language documentation.
  • Select tutorials that focus on data engineering topics like data processing, data storage, and data analysis.
  • Follow the tutorials step-by-step, implementing code examples and experimenting with different approaches.
Three other activities
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Show all six activities
Build a Data Visualization Tool
Allows you to apply your knowledge of Rust data engineering to create a practical tool for visualizing and analyzing data.
Browse courses on Data Visualization
Show steps
  • Identify a specific data visualization need or problem you want to solve.
  • Design the tool's interface, data structures, and algorithms.
  • Implement the tool in Rust, ensuring efficiency and maintainability.
  • Test the tool thoroughly to ensure it meets your requirements.
Participate in Rust Hackathons
Challenges you to apply your Rust data engineering skills in a competitive environment, fostering innovation and problem-solving.
Browse courses on Data Engineering
Show steps
  • Find and register for upcoming Rust hackathons or data science competitions.
  • Form a team or work individually on a project that leverages Rust for data-related tasks.
  • Develop and implement your solution within the hackathon's timeframe.
  • Present your project and compete for prizes or recognition.
Mentor Junior Rust Developers
Enables you to share your knowledge and experience with aspiring Rust data engineers, fostering their growth and contributing to the community.
Browse courses on Mentoring
Show steps
  • Reach out to online communities or local user groups to offer mentorship.
  • Provide guidance on data engineering concepts, Rust programming, and best practices.
  • Review their code, answer questions, and offer feedback to help them improve their skills.

Career center

Learners who complete Data Engineering with Rust will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer will leverage the efficiency and speed of Rust to handle large-scale data engineering tasks and efficiently solve real-world problems. The ability to build data pipelines, ingest, process, store data, create workflows, Lambdas, and microservices will equip one well for this role. Additionally, an understanding of how to use the Rust development ecosystem, including AI coding tools, continuous integration, and cloud-based environments, is valuable for success in a Data Engineer role.
Data Analyst
Data Analysts need to be able to work with large datasets and use efficient tools and techniques to extract meaningful insights. Rust is a powerful language that can help Data Analysts handle complex data engineering tasks. Furthermore, the course's focus on designing and implementing full-fledged data processing systems in Rust can be particularly relevant to a Data Analyst role.
Data Scientist
Data Scientists who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Data Scientists can gain the skills and knowledge they need to succeed in their roles.
Machine Learning Engineer
Machine Learning Engineers need to be able to handle large datasets and use efficient tools and techniques to build and deploy machine learning models. Rust is a powerful language that can help Machine Learning Engineers with these tasks. Furthermore, the course's focus on designing and implementing full-fledged data processing systems in Rust can be particularly relevant to a Machine Learning Engineer role.
Backend Engineer
Backend Engineers who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Backend Engineers can gain the skills and knowledge they need to succeed in their roles.
Software Engineer
Rust is a modern and versatile language that gives Software Engineers the power to efficiently solve complex data engineering tasks. The hands-on labs and projects throughout this course provide opportunities to gain practical experience. Whether seeking to get into or advance a career in Software Engineering, this course helps build a foundation in Rust and its applications in data engineering.
Database Administrator
Database Administrators who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Database Administrators can gain the skills and knowledge they need to succeed in their roles.
Data Architect
Data Architects who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Data Architects can gain the skills and knowledge they need to succeed in their roles.
DevOps Engineer
DevOps Engineers who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, DevOps Engineers can gain the skills and knowledge they need to succeed in their roles.
Cloud Engineer
Cloud Engineers who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Cloud Engineers can gain the skills and knowledge they need to succeed in their roles.
IT Manager
IT Managers who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, IT Managers can gain the skills and knowledge they need to succeed in their roles.
Product Manager
Product Managers who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Product Managers can gain the skills and knowledge they need to succeed in their roles.
Project Manager
Project Managers who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Project Managers can gain the skills and knowledge they need to succeed in their roles.
Systems Analyst
Systems Analysts who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Systems Analysts can gain the skills and knowledge they need to succeed in their roles.
Business Analyst
Business Analysts who have a strong foundation in data engineering and Rust can be highly valuable. This course provides a comprehensive overview of how to use Rust for data engineering, covering topics such as data structures, safety, security, concurrency, and designing data processing systems. By taking this course, Business Analysts can gain the skills and knowledge they need to succeed in their roles.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Engineering with Rust.
Provides a comprehensive overview of Rust, covering the basics as well as advanced topics such as concurrency and memory management. It's a great resource for both beginners and experienced Rust programmers.
Provides a deep dive into the Rust programming language, covering advanced topics such as concurrency, memory management, and unsafe code. It's a great resource for experienced Rust programmers who want to learn more about the language.
This is the official Rust programming language book, written by the Rust team. It's a great resource for learning the basics of Rust and getting started with the language.
Provides a comprehensive overview of Rust, covering the basics as well as advanced topics such as concurrency and memory management. It's a great resource for both beginners and experienced Rust programmers.
Provides a hands-on introduction to Rust, covering the basics as well as advanced topics such as concurrency and memory management. It's a great resource for beginners who want to learn how to use Rust in practice.
Collection of Rust programming challenges, organized by difficulty level. It's a great resource for practicing your Rust skills and learning how to solve problems in Rust.

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