Data Compression And The Technologies Used
The surge of data has made it important for technologies for handling it to be developed. For data to be transferred and stored easily, data compression technologies have played a big role. Different techniques are used by this technology. There are two major methods namely lossless and lossy. What they basically do is to modify data to a size which is desirable. Lossy gets rid of data which is not important while lossless removes redundancy. Since the technique mane might seem like data is lost, it is not the case. They ensure that the data which will be transferred contains the intended data to be transferred.
Data compression is important given that it saves bandwidth and improves the speed of transmission. There are many applications which have been developed which makes is easy to compress data. These applications have different features. There are many operating systems which use different methods of compression thus developers of the data compression technologies have developed different features for the many operating systems. When data compression technologies have been employed, it is possible to achieve the correct size of data which can be transmitted through a system. Among the other reasons for development of data compression is the storage factor.
There are numerous forms which data can be available on. In example, audio data, video data and many others. Encoding methods are different for the different data. What encodes data is the bit rate. Different data is encoded using different bit rates. It makes sure that the device which will receive the date can decode it. Hardware equipment which is required for data compression for data sets is different.
Attribute vector coding has numerous algorithms which have been implemented on different application. It categorizes most of the data which have close similarities. Because it is critical to data compression, Attribute vector coding relies on arrays implemented when coding. In this technology, arrays use similarities. During compression, redundancies are removed given that Attribute vector coding relies on arrays with same properties. The technique which is put in place in this case is lossless.
For the purpose of security and transmission, word encoding is of great importance to computer devices. Word encoding converts data into codes which can be transmitted quickly. The language which computers understand are only codes. With word encoding, it is possible for computers to be used to transmit the data to the target destination. There are various application word encoding in the real world. It is an integral part of data compression given that it can eliminate headers and footers of data for transmission. It also improves privacy since an encoded data can be difficult for intermediaries to understand. Decoders can easily interpret what has been encoded by the source of data.
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