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As noted previously, the distribution of data characters in your data set determines the potential for compression. Refining the process further requires consideration of the data set's record layout. Two processes, data characteristics analysis and record definition, are the key to developing a custom compression algorithm for your data set.
During the analysis process, CA Compress develops information about a data set's record layout and data. This information is combined in a variety of ways. The system develops a number of selections for custom implementation.
CA Compress lets you further tune your algorithm by actually modifying the RDL, which is the most involved aspect of creating a Tailored Huffman algorithm. We recommend that you gain a firm understanding of the product and associated compression concepts before attempting a tailored implementation for a major data set.
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