9781491961537-1491961538-Understanding Compression: Data Compression for Modern Developers

Understanding Compression: Data Compression for Modern Developers

ISBN-13: 9781491961537
ISBN-10: 1491961538
Edition: 1
Author: John Brooks, Colton McAnlis, Aleks Haecky
Publication date: 2016
Publisher: O'Reilly Media
Format: Paperback 239 pages
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Book details

ISBN-13: 9781491961537
ISBN-10: 1491961538
Edition: 1
Author: John Brooks, Colton McAnlis, Aleks Haecky
Publication date: 2016
Publisher: O'Reilly Media
Format: Paperback 239 pages

Summary

Understanding Compression: Data Compression for Modern Developers (ISBN-13: 9781491961537 and ISBN-10: 1491961538), written by authors John Brooks, Colton McAnlis, Aleks Haecky, was published by O'Reilly Media in 2016. With an overall rating of 4.2 stars, it's a notable title among other Information Theory (Computer Science, Data Modeling & Design, Databases & Big Data) books. You can easily purchase or rent Understanding Compression: Data Compression for Modern Developers (Paperback) from BooksRun, along with many other new and used Information Theory books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.88.

Description

If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won’t churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand how data compression algorithms work—in theory and practice—so you can choose the best solution among all the available compression tools.

With tables, diagrams, games, and as little math as possible, authors Colt McAnlis and Aleks Haecky neatly explain the fundamentals. Learn how compressed files are better, cheaper, and faster to distribute and consume, and how they’ll give you a competitive edge.

  • Learn why compression has become crucial as data production continues to skyrocket
  • Know your data, circumstances, and algorithm options when choosing compression tools
  • Explore variable-length codes, statistical compression, arithmetic numerical coding, dictionary encodings, and context modeling
  • Examine tradeoffs between file size and quality when choosing image compressors
  • Learn ways to compress client- and server-generated data objects
  • Meet the inventors and visionaries who created data compression algorithms
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