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There is a problem in the process of data analysis, which is related to their extraction and preparation. This problem is the consequence of a necessity for integration of heterogeneous structures both in structure and format. The technical solution to this problem is to use ETL-systems that automate processes of extraction, transformation and loading of data into a storage according to strictly defined rules. To date, scientific research in this area focuses on increasing performance and documenting the semantics of the process for its reuse. The paper presents results of a review and analysis of actual solutions in the field of extraction of heterogeneous data of large volume. Keywords— Big data, data extraction, knowledge discovery, data mining, heterogeneous data sources

Review and analysis of means and methods for automatic data extraction from heterogeneous sources