Research paper on mapreduce Example | Topics and Well Written Essays - 750 words

On mapreduce - Research Paper Example Reduce collects relevant parts from the locations where the map function occurred and return the result to HDFS. IBM defines MapReduce based on its association with Hadoop (IBM 1). The company affirms that MapReduce denotes two distinct roles performed by Hadoop programs. The initial role pertains to map job. It engages data and changes it into another set by breaking down individual aspects into value pairs (IBM 1). Reduce job engages the output generated by a map and engages it to produces smaller value pairs. Based on IBM definition, it is clear that MapReduce is a popular programming technology that allows the use of many computers in order to process huge amount of data. It helps in coordinating tasks in order to avoid issues such as input problems and harmonization delays. One can perform various tasks such as data mining and graph processing using this concept. The concept is popular in industries and conducting complex researches. An example of commonly use MapReduce implementations is Hadoop. Vianna, Almeida & Kuno (1) further define Map Reduce based on its sorting process. The authors indicate that when one has many sets of records and he needs to sort or process them in a specific order, he may use MapReduce. MapReduce is an invention that allows an individual to use Mappers that have sorting keys that dive the data set based on the values associated with them. Vianna, Almeida & Kuno (1) further define MapReduce as a process involving the combination all the sorted data. This concept is usually applied in data analysis. The authors provide an example of MapReduce as used in data filtering. They indicate that when one has sets of records that require arrangements to ensure they meet a certain condition, he can filter them using MapReduce. For instance, one can filter the records using Mappers which produce transformed versions of the