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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
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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.

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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.

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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Rust Data Engineering with these activities:
The Rust Programming Language
Solidify your fundamentals by thoroughly reviewing 'The Rust Programming Language' before the course begins.
Show steps
  • Obtain a copy of the book
  • Read each chapter carefully
  • Complete the exercises and examples
Rust Study Group
Enhance your understanding through peer discussions and collaboration on Rust concepts and projects.
Show steps
  • Find or create a study group with fellow Rust learners
  • Schedule regular meetings
  • Discuss course topics, share knowledge, and work on projects together
Walkthrough of Diesel with Tokio
Enhance your understanding of asynchronous programming in Rust by following a tutorial on integrating Diesel with Tokio.
Show steps
  • Find a tutorial on using Diesel with Tokio
  • Set up the necessary dependencies and environment
  • Follow the tutorial to create a simple web application
Two other activities
Expand to see all activities and additional details
Show all five activities
Rust Concurrency Exercises
Sharpen your concurrency skills by solving coding exercises that involve Rust's threading and synchronization primitives.
Browse courses on Concurrency
Show steps
  • Find a resource with Rust concurrency exercises
  • Attempt to solve the exercises on your own
  • Review solutions and discuss with peers
Data Pipeline with Apache Arrow
Reinforce your skills by building a data pipeline using Apache Arrow to transform and analyze data.
Browse courses on Apache Arrow
Show steps
  • Design the data pipeline architecture
  • Implement data ingestion and transformation
  • Create visualizations or reports based on the processed data

Career center

Learners who complete Rust Data Engineering will develop knowledge and skills that may be useful to these careers:
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 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 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 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 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 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 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 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 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 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 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
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
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
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
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.

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.
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.
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.
Practical guide to the Rust programming language. It covers all the essential concepts, from syntax and types to concurrency and unsafe code.
Guide to the Rust programming language. It covers all the essential concepts, from syntax and types to concurrency and unsafe code.
Deep dive into the Rust programming language. It covers all the essential concepts, from syntax and types to concurrency and unsafe code.

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