Data Deduplication: High-impact Strategies – What You Need to Know | The Art of Service

Data Deduplication: High-impact Strategies – What You Need to Know | The Art of Service

This book is your ultimate resource for Data Deduplication. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Deduplication right away, covering: Data deduplication, Data compression, Adaptive compression, Audio compression (data), Binary Ordered Compression for Unicode, Bitrate peeling, Bitstream format, Calgary Challenge, Calgary Corpus, Canterbury Corpus, CMX (file format), Compressed pattern matching, Compression artifact, Context mixing, Data compaction, Data compression ratio, Data compression symmetry, Double Tools for DoubleSpace, DriveSpace, Dyadic distribution, Error exponent, Generation loss, Grammar-based code, Hutter Prize, Image compression, Krichevsky–Trofimov estimator, Lossless compression benchmarks, Lossless data compression, Lossy compression, Lossy data conversion, LZX (algorithm), Matt Mahoney, Mode Z compression, Modulo-N code, Move-to-front transform, Ocarina Networks, Precompressor, Prefix code, Progressive Graphics File, QDX, Rate–distortion theory, Recursive indexing, Robust Header Compression, Sardinas–Patterson algorithm, Self-extracting archive, Set partitioning in hierarchical trees, Shannon’s source coding theorem, Signaling Compression, Silence compression, Jan Sloot, Smart Bitrate Control, Smart Data Compression, Solid compression, Sub-band coding, Time-domain harmonic scaling, Transparency (data compression), Transparency threshold, Trellis quantization, Twin vector quantization, Ultra Low Delay Audio Coder, Unary coding, Universal code (data compression), Van Jacobson TCP/IP Header Compression, Video compression, Volume (compression), White noise, WinZip, ZeoSync, Zoo (file format). This book explains in-depth the real drivers and workings of Data Deduplication. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Data Deduplication with the objectivity of experienced professionals.