Sosenushkin Sergey Evgenievich (Candidate of Technical Sciences, Associate Professor
FGBOU VO "MSTU "STANKIN"
)
Badanov Artem Andreevich (Lead Developer at Amberdata LLC;
Federal State Budgetary Educational Institution of Higher Education “MSTU STANKIN”
)
| |
The article discusses the features of big data migration in the context of using heterogeneous storage systems and non-standard information sources. It provides an overview of existing data migration methods and identifies their limitations when working with large amounts of data and various access methods. The article proposes an adaptive hybrid method for big data migration with automated selection of information extraction and processing strategies, based on a combination of screen robots, classical ETL approaches, distributed data processing, and the use of an intermediate storage. It has been shown that the proposed method is a promising approach to organizing large-scale data migration processes and is of interest for further research in the field of building scalable and sustainable migration solutions.
Keywords:big data, data migration, ETL, screen robots, RPA, staging, data transformation.
|
|
| |
|
Read the full article …
|
Citation link:
Sosenushkin S. E., Badanov A. A. ADAPTIVE HYBRID METHOD FOR MIGRATING LARGE DATA WITH AUTOMATIC SELECTION OF INFORMATION EXTRACTION AND PROCESSING STRATEGIES // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2026. -№02/2. -С. 93-100 DOI 10.37882/2223-2966.2026.02-2.21 |
|
|
LEGAL
INFORMATION:
