Big Data Processing Technologies in Distributed Information Systems

Abstract The analysis of Big data technologies was provided. An example of MapReduce paradigm application, uploading of big volumes of data, processing and analyzing of unstructured information and its distribution into the clustered database was provided. The article summarizes the concept of "big data". Examples of methods for working with arrays of unstructured data are given. The parallel system Resilient Distributed Datasets (RDD) is organized. The class of basic database operations was realized: database con-nection, table creation, getting in line id, returning all elements of the database, update, delete and create the line.