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Rust Data Engineering
This course is part of multiple programs. Learn more.
Course Cost
₹ 38,999
Beginner
Skill Level
4 Weeks
Self-paced Video lessons
This comprehensive 4-week course teaches you how to leverage Rust for efficient and reliable data engineering workflows. You'll master Rust's data structures and collections for processing, explore safety and security features, and work with essential libraries like Diesel, Polars, and Apache Arrow. Through hands-on projects, you'll build data ingestion tools, ETL pipelines, and learn to interface with databases and cloud services. The course covers concurrent programming, performance optimization, and best practices for handling large datasets. By completion, you'll have practical experience in creating high-performance, secure data systems ready for real-world deployment.
What you'll learn
Leverage Rust's data structures and collections for efficient data manipulation
Implement secure and reliable data engineering solutions using Rust's safety features
Develop high-performance concurrent data processing applications
Create ETL pipelines and data ingestion tools using Rust
Integrate with databases REST APIs and cloud services
Optimize data processing performance using Rust's unique capabilities
Build practical data engineering projects with real-world applications
Design and deploy scalable data processing systems
Skills you'll gain
This course includes:
PreRecorded video
5 quizzes, 9 assignments, 13 ungraded labs
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
The course provides a thorough introduction to using Rust for data engineering applications. Starting with fundamental data structures and collections, it progresses through safety and concurrency features specific to data processing. Students learn to work with specialized libraries and tools while gaining practical experience with databases, APIs, and cloud services. The curriculum emphasizes hands-on learning through projects, covering everything from basic data manipulation to complex pipeline design. Special attention is given to performance optimization and security considerations in data engineering contexts.
Rust Data Structures: Collections
Module 1
Safety, Security and Concurrency with Rust
Module 2
Rust Data Engineering Libraries and Tools
Module 3
Designing Data Processing Systems in Rust
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Rust Programming, Data Engineering Foundations
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
30
Courses
Noah Gift is a distinguished technology leader and founder of Pragmatic AI Labs with a remarkable 30-year career spanning film, TV, telecom, social networks, startups, and big data, currently serving as an Executive-in-Residence at Duke University. As an AWS ML Hero and Python Software Foundation Fellow, he has authored best-selling books through O'Reilly and Pearson on DevOps, MLOps, data engineering, and cloud computing that are widely adopted by major universities. His expertise in MLOps, data engineering, cloud architecture, and Rust programming has led him to teach thousands of students across prestigious institutions including Duke, Northwestern, UC Berkeley, University of San Francisco, and UC Davis, while also collaborating with Caltech and JPL on automated IT systems. Gift's impact extends beyond academia through his work as a startup CTO, his role in developing scalable distributed systems, and his contributions as a keynote speaker at conferences focused on cloud development and ethical AI use, holding certifications from AWS, Google, and Microsoft, and having published over 100 technical works while conducting workshops for organizations like NASA, PayPal, and PyCon.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.