Rust for Data Engineers
close menu
Bookswagon
search
My Account
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology Books > Computer programming / software engineering > Programming and scripting languages: general > Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing(Practical Rust for Developers)
Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing(Practical Rust for Developers)

Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing(Practical Rust for Developers)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Transform your data infrastructure with the speed and safety of Rust.

In the era of massive datasets, data engineers are hitting the performance limits of traditional programming languages. Memory leaks, garbage collection pauses, and concurrency bottlenecks can cripple large pipelines. Rust offers a paradigm shift. By combining low level hardware control with high level memory safety, Rust empowers you to build concurrent systems that process terabytes of data without sacrificing reliability.

This comprehensive guide bridges the gap between systems programming and data engineering. You will discover how to harness zero cost abstractions and memory efficient parallel computing to optimize your workflows. From mastering the unique ownership and borrowing concepts to configuring Zstd compression for Apache Parquet files, this book provides the exact tools you need to architect blazing fast data pipelines.

Inside this book, you will learn how to:

  • Architect concurrent data pipelines using safe memory management practices.

  • Master Rust fundamentals including ownership, lifetimes, structs, and error handling.

  • Implement functional programming patterns with iterators and collections for data transformation.

  • Optimize physical storage by writing efficient Apache Parquet files with Zstd compression.

  • Eliminate data races and unexpected crashes in high throughput streaming systems.

  • Reduce latency and infrastructure costs through predictable resource utilization.


Whether you are building real time analytics platforms or scaling distributed batch processing frameworks, this book delivers practical patterns for immediate application. You will confidently navigate the learning curve and apply memory efficient computing to your most demanding workloads.

Who is this book for: Data engineers, software developers, and systems architects who want to break through the performance ceilings of Python or Java. A basic understanding of data processing concepts is recommended, but prior experience with systems programming is not required.

Take control of your data infrastructure. Start building robust, high performance pipelines today.


Best Sellers


Product Details
  • ISBN-13: 9798259070844
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 472
  • Returnable: N
  • Spine Width: 24 mm
  • Weight: 626 gr
  • ISBN-10: 8259070847
  • Publisher Date: 27 Apr 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: Practical Rust for Developers
  • Sub Title: Processing Large Datasets with Memory-Efficient Parallel Computing
  • Width: 152 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing(Practical Rust for Developers)
Independently Published -
Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing(Practical Rust for Developers)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing(Practical Rust for Developers)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!