Data Engineering with Rust from Coursera

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.

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.

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

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

Show steps

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

Show steps

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

Show steps

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

Expand to see all activities and additional details

Show all six activities

Build a Data Visualization Tool

Show steps

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

Show steps

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

Show steps

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Backend Engineer

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for DevOps Engineer

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.

See salaries and explore the career path for Cloud Engineer

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.

See salaries and explore the career path for IT Manager

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Systems Analyst

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.

See salaries and explore the career path for Business Analyst

Data Engineering with Rust

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses