Machine Learning Solutions for Data Migration to Cloud: Addressing Complexity, Security, and Performance
Keywords:
Data Migration, Cloud ComputingAbstract
Cloud computing and fast data growth depend on secure data transport. Problems include complicated heterogeneous data setups, rigorous security, and best transfer efficiency. Machine learning (ML) might ease cloud data transport and help to solve these problems.
Details on data transfer—including its stages and complexity—are provided. In data identification, classification, manipulation, and transfer, take legacy system interaction, heterogeneity, and schema incompatibility into account. Data migration security—confidence, integrity, and access—then is another topic we cover. We look at inadequate security, data breaches, illicit access, and insider attacks.
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