Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing (Practical Rust for Developers)
by James Neil
Rust for Data Engineers presents practical approaches to processing large datasets with Rust. With an emphasis on memory-efficient design and parallel computing, it is aimed at data engineers and developers who want to apply Rust to demanding, scalable data-processing workflows.
About This Book
Rust for Data Engineers focuses on processing large datasets with Rust, emphasizing memory efficiency and parallel computing.
The book is positioned as a practical resource for data engineers working with demanding data-processing tasks.
It introduces Rust in the context of scalable data workflows and performance-conscious development.
Part of the Practical Rust for Developers subject area, this book connects Rust programming with modern data engineering needs.
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