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Big data modeling differs from relational data modeling in several ways. Big data modeling allows for more flexibility in handling vast and diverse data types, enabling analysis of large datasets efficiently. However, it can be more complex to manage and query compared to relational data models. Relational data modeling, while effective for structured data, may struggle with the scalability and performance requirements of big data. In summary, big data modeling offers scalability and flexibility but may require specialized tools and expertise, while relational data modeling is better suited for structured data but may face challenges with the scale and variety of big data.
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