By Victor Rodriguez
The early days of UNIX development saw a tool-interpreted programming language designed for text processing; it was AWK. The basic function of AWK is to search files for lines (or other units of text) that contain certain patterns. When a line matches one of the patterns, AWK performs specified actions on that line. AWK continues to process input lines in this way until it reaches the end of the input files.
GNU/Linux distributes the version of the AWK, which is written and maintained by the Free Software Foundation (FSF) and often referred as GNU AWK (GAWK). GAWK provides a large number of extensions over POSIX awk.
Multiple tasks can be done with AWK; a few examples are: text processing, producing formatted text reports, arithmetic operations, string operations, and many more. The importance of improving the performance of the AWK programming language is obvious. One of these areas is text processing for big data analysis.
Text processing is a major field in cloud technology. Our world is being revolutionized by data-driven methods: access to large quantities of data has generated opportunities for new insights into commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advancements requires tools like AWK, and those with better performance based on user needs.