Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing (Practical Rust for Developers)
by James Neil
Rust for Data Engineers presents a practical introduction to using Rust for large-dataset processing. Focusing on memory efficiency and parallel computing, the book helps developers explore approaches to data engineering workloads while building familiarity with Rust’s role in performance-conscious software development.
About This Book
Rust for Data Engineers introduces Rust in the context of data engineering and large-scale data processing.
The book focuses on memory-efficient approaches for working with large datasets.
It also covers parallel computing as a way to support data-processing workflows.
Designed for developers, this practical guide connects Rust programming with data engineering tasks.
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