In information theory, data compression, source coding, or bit-rate reduction is the
process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.
Data compression is the process of modifying, encoding or converting the bits structure of data in such a way that it consumes less space on disk. It enables reducing the storage size of one or more data instances or elements. Data compression is also known as source coding or bit-rate reduction.
Data compression is the process of
reducing the size of digital data while preserving the essential information contained in them. Data can be compressed using algorithms to remove redundancies or irrelevancies in the data, making it simpler to store and more effective to transmit.What is data compression? Data compression is the act or process of
reducing the size of a computer file. Through an algorithm or a set of rules for carrying out an operation, computers can determine ways to shorten long strings of data and later reassemble them in a recognizable form upon retrieval.
data compression, also called compaction, the process of reducing the amount of data needed for the storage or transmission of a given piece of information, typically by the use of encoding techniques.
