MapReduce and Apache spark: technology analysis, advantages and disadvantages
T Q UrazmatovUrgench branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Urgench, UzbekistanX Sh KuzibayevUrgench branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Urgench, Uzbekistan
ABI
Аннотация
Abstract Nowadays, it is absolutely illogical and impossible to process big data using traditional software methods and hardware. because too much data available does not allow this. However, there are some effective ways to perform such operations. This article discusses the main problems and solutions for processing big data. Today, there are a number of technologies and algorithms that process and analyze big data. This article mainly discusses, analyzes, and summarizes the advantages and disadvantages of the MapReduce architecture and Apache spark technology, and the results are presented in tabular form.
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