Data Compression reduces the amount of data that needs to be retained in order to ensure that the original information content of the data is maintained. When moving data across a network it can reduce the size of the data set that needs to be transmitted. This can be done in a lossless or in a lossy way. Lossless compression removes data from the data set in such a way that it can be added again when the data arrives at its destination. For example, removing characters that repeat and instead including a value saying how many of these characters there should be. Lossy compression removes data that is not required for the receiver to use the data. A typical example is reducing the colour depth information in images. Often this can be reduced significantly without noticeable degradation to the transmitted image.
Progress, Telerik, Ipswitch, Chef, Kemp, Flowmon, MarkLogic, Semaphore and certain product names used herein are trademarks or registered trademarks of Progress Software Corporation and/or one of its subsidiaries or affiliates in the U.S. and/or other countries. See
Trademarks for appropriate markings.