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Rust Data Engineering
Noah Gift
Noah Gift
Rust for Data Engineering: Efficient, Safe, and Concurrent Data Processing
- Learn to build robust data processing systems using Rust
- Explore Rust's performance, safety, and concurrency for data tasks
Read more
Rust for Data Engineering: Efficient, Safe, and Concurrent Data Processing
- Learn to build robust data processing systems using Rust
- Explore Rust's performance, safety, and concurrency for data tasks
Read more
Rust for Data Engineering: Efficient, Safe, and Concurrent Data Processing
- Learn to build robust data processing systems using Rust
- Explore Rust's performance, safety, and concurrency for data tasks
This 4-week course dives deep into leveraging Rust for efficient and reliable data engineering workflows:
- Mastering Rust data structures and collections for data processing
- Leveraging Rust's safety/security features in data engineering context
- Using Rust libraries like Diesel, async, Polars, Apache Arrow
- Interfacing with data stores, REST/gRPC APIs, AWS SDK
- Designing full-fledged data pipelines and processing systems in Rust
- Hands-on projects for building data ingestion tools, ETL pipelines
- Best practices for handling large datasets, optimizing performance
- Techniques for writing safe, concurrent, and lock-free code
- Deploying and maintaining Rust-based data engineering solutions
By the end, you'll gain practical experience building high-performance, secure data systems using Rust - preparing you for real-world data challenges.
Register for this course and see more details by visiting:
OpenCourser.com/course/vbuvsm/rust
What's inside
Learning objectives
- Leverage rust's robust data structures and collections for efficient data manipulation.
- Use rust's safety and security features to build reliable and secure data engineering solutions.
- Utilize rust's libraries and tools specific to data engineering, such as diesel, async, polars, and apache arrow.
- Interface effectively with databases, data processing systems, rest and grpc protocols, and leverage aws sdk for cloud-based data operations in rust.
- Design and implement comprehensive data processing systems in rust.
- Apply the principles of concurrent programming in rust to build high-performance data processing applications.
- Identify and mitigate common data engineering problems using rust's unique features, like its strong type system and memory safety guarantees.
- Develop command-line applications and multi-threaded servers in rust, focusing on efficient, safe, and concurrent processing of data.
- Create practical projects, gaining hands-on experience in rust for data engineering.
- Leverage rust's robust data structures and collections for efficient data manipulation.
- Use rust's safety and security features to build reliable and secure data engineering solutions.
- Utilize rust's libraries and tools specific to data engineering, such as diesel, async, polars, and apache arrow.
- Interface effectively with databases, data processing systems, rest and grpc protocols, and leverage aws sdk for cloud-based data operations in rust.
- Design and implement comprehensive data processing systems in rust.
- Apply the principles of concurrent programming in rust to build high-performance data processing applications.
- Identify and mitigate common data engineering problems using rust's unique features, like its strong type system and memory safety guarantees.
- Develop command-line applications and multi-threaded servers in rust, focusing on efficient, safe, and concurrent processing of data.
- Create practical projects, gaining hands-on experience in rust for data engineering.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Focuses on using Rust for data engineering, which is relevant to the field
Taught by Noah Gift, who are recognized for their work in data engineering
Develops proficiency with Rust data structures and collections, which are core skills for data processing
Examines safety/security in Rust, essential for building reliable and secure data engineering solutions
Leverages Rust libraries like Diesel, async, Polars, and Apache Arrow, which are industry-standard tools
Covers designing full-fledged data pipelines and processing systems using Rust
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Activities
Coming soon
We're preparing activities for
Rust Data Engineering.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Rust Data Engineering will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs and builds the systems and processes that make it possible for data scientists to access, process, and analyze data. This course is highly relevant because it teaches how to use Rust to build efficient, safe, and concurrent data processing systems.
Data Scientist
Data Scientist
Data Scientists use their knowledge of programming, mathematics, and statistics to extract insights from data. This course may be useful for Data Scientists who want to learn how to use Rust for data engineering tasks.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn how to use Rust for data engineering tasks.
Database Administrator
Database Administrator
Database Administrators are responsible for the maintenance, performance, and security of databases. This course may be useful for Database Administrators who want to learn how to use Rust to build data engineering systems.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course may be useful for Data Analysts who want to learn how to use Rust for data engineering tasks.
Business Analyst
Business Analyst
Business Analysts help businesses understand their data and make better decisions. This course may be useful for Business Analysts who want to learn how to use Rust for data engineering tasks.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course may be useful for Project Managers who want to learn how to use Rust for data engineering tasks.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course may be useful for Product Managers who want to learn how to use Rust for data engineering tasks.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other products. This course may be useful for Technical Writers who want to learn how to use Rust for data engineering tasks.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. This course may be useful for Systems Analysts who want to learn how to use Rust for data engineering tasks.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computing technologies. This course may be useful for Computer Scientists who want to learn how to use Rust for data engineering tasks.
Mathematician
Mathematician
Mathematicians develop and apply mathematical theories and techniques. This course may be useful for Mathematicians who want to learn how to use Rust for data engineering tasks.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This course may be useful for Statisticians who want to learn how to use Rust for data engineering tasks.
Physicist
Physicist
Physicists study the laws of nature. This course may be useful for Physicists who want to learn how to use Rust for data engineering tasks.
Chemist
Chemist
Chemists study the composition, structure, properties, and reactions of matter. This course may be useful for Chemists who want to learn how to use Rust for data engineering tasks.
For more career information including salaries, visit:
OpenCourser.com/course/vbuvsm/rust
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
Rust Data Engineering.
Save
Although not Rust-specific, this book provides a solid foundation in data-intensive application design principles, covering topics such as data modeling, consistency, and performance, offering valuable insights for building robust and scalable data systems.
Save
A collection of real-world Rust projects and case studies, offering practical insights into applying Rust in various domains, such as web development, systems programming, and data science.
Comprehensive guide to the Rust programming language. It covers all the essential concepts, from syntax and types to concurrency and unsafe code.
Save
Practical guide to the Rust programming language. It covers all the essential concepts, from syntax and types to concurrency and unsafe code.
Save
Guide to the Rust programming language. It covers all the essential concepts, from syntax and types to concurrency and unsafe code.
Save
Deep dive into the Rust programming language. It covers all the essential concepts, from syntax and types to concurrency and unsafe code.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vbuvsm/rust
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Effort
3 to 6 hours per week for 4 weeks
Level
Introductory
Via
edX
Institution
Pragmatic AI Labs
Instructor
Noah Gift
Session
March 11, 2024
- March 12, 2025
Language
English
Transcript
English
Good to know
Focuses on using Rust for data engineering, which is relevant to the field
Taught by Noah Gift, who are recognized for their work in data engineering
Develops proficiency with Rust data structures and collections, which are core skills for data processing
Examines safety/security in Rust, essential for building reliable and secure data engineering solutions
Leverages Rust libraries like Diesel, async, Polars, and Apache Arrow, which are industry-standard tools
Covers designing full-fledged data pipelines and processing systems using Rust
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