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Understanding Compression (Data Compression for Modern Developers)

List Price: $36.99
SKU:
9781491961537
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  • Product Details

    Author:
    John Brooks, Colt McAnlis, Aleks Haecky
    Format:
    Paperback
    Pages:
    239
    Publisher:
    O'Reilly Media (August 30, 2016)
    Language:
    English
    ISBN-13:
    9781491961537
    ISBN-10:
    1491961538
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251023163248-20251023.xml
    Folder:
    TWO RIVERS
    List Price:
    $36.99
    As low as:
    $31.81
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    16
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    12.8oz
    Imprint:
    O'Reilly Media
  • Overview

    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