Question
Data scientists often work with large, evolving datasets. Explain the limitations of traditional file-based systems in the context of analytics and machine learning workflows. How does a DBMS address these limitations?
Answer :
Word Count : 266
Data scientists frequently handle massive, continuously growing datasets that require efficient storage, retrieval, integration, and analysis. Traditional file-based systems, where data is stored in separate flat files, present several limitations in analytics and machine learning workflows. One major issue is data redundancy and inconsistency. ____ ______ __________ _________ ___ __________.
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Data scientists frequently handle massive, continuously growing datasets that require efficient storage, retrieval, integration, and analysis. Traditional file-based systems, where data is stored in separate flat files, present several limitations in analytics and machine learning workflows. One major issue is data redundancy and inconsistency. ____ ______ __________ _________ ___ __________.
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