Understanding Compression: Data Compress
β Colt McAnlis, Aleks Haecky
π Library
π
2016
π OβReilly Media
π English
β¦ LIBER β¦
π
Understanding compression: data compression for modern developers
β Scribed by Haecky, Aleks;McAnlis, Colt
- Publisher
- O'Reilly Media
- Year
- 2016
- Tongue
- English
- Edition
- First edition
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Subjects
Datenkompression;Lehrbuch
π SIMILAR VOLUMES
Understanding Compression: Data Compress
β Colt McAnlis, Aleks Haecky
π Library
π
2016
π OβReilly Media
π English
If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that wonβt 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
β David Salomon
π Library
π
2004
π Springer
π English
Data compression is one of the most important fields and tools in modern computing. This third edition of "Data Compression" provides a comprehensive, authoritative, and accessible reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, detail
Recent Developments in Theoretical and E
β K. G. Guderley (auth.), U. MΓΌller, K. G. Roesner, B. Schmidt (eds.)
π Library
π
1979
π Springer-Verlag Berlin Heidelberg
Data Compression for Real Programmers
β Wayner
π Library
π
1999
π Morgan
π English
Compressed Data Structures for Strings:
β Rossano Venturini (auth.)
π Library
π
2014
π Atlantis Press
π English
<p>Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed: the former aims at minimizing data redundancies, whereas the latter augments the dataset with auxiliary information to speed up the query resolution. In th