Can lossless compression be used to reduce the storage footprint of databases?

Lossless compression algorithms allow you to reduce your file size without sacrificing any of the original data in the process. You're generally able to restore ... NNCP is an experiment to build a practical lossless data compressor with neural networks. The latest version uses a Transformer model. The papers nncp_v2.1.pdf ... Oct 1, 2020 ... Right. Lossless general-purpose compression which works on arbitrary inputs is impossible. Lossless data compression is made possible by making ... May 24, 2011 ... My opinion will be, first decide whether you want to do a lossless compression or a lossy compression, then pick an algorithm to implement. Olymp Engineering, LLC LossLess Data Compression supports lossless signal compression and decompression. Nov 1, 2017 ... Abstract. The performance of lossless data compression depends mainly on compression rate and compression time. The compression time of ... News. LZO 2.10 has been released; a small update that fixes various build issues. Key Facts. LZO is a portable lossless data compression library written in ... Aug 5, 2016 ... gzip and xz uses two different algorithms, and therefore they perform differently, both in terms of what level of compression they achieve ... 3 days ago ... Lossless data compression is an essential technology that allows the compressed data to be perfectly reconstructed. It is indispensable for ... In this work, a run-time lossless compression of single-channel Electrocardiogram (ECG) and Photoplethysmogram (PPG) signals is proposed, maintaining all ...