Abstract
Modern information technologies have made changes in the way data is collected, stored and processed. As a result, there is an urgent problem of developing and applying new methods of approaches to data analysis. For the convenience of working with big data, a large number of frameworks and distributed data warehouses have been implemented. One of the well-known methods to support the execution of largescale distributed application programs is MapReduce. The article presents an overview of modern technologies used in the field of big data processing, market analysis, as well as a comparison of modern analytical database management systems.
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