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Related Questions
- How do knowledge graphs handle schema updates and changes over time compared to relational databases?
- What are the trade-offs between using a knowledge graph and a relational database for storing temporal data that requires frequent schema updates?
- Can you provide examples of industries or applications where a knowledge graph's flexibility in schema evolution is particularly beneficial?
- How do knowledge graphs handle conflicts or inconsistencies that arise from updates to the schema or data in a temporal dataset?
- In what scenarios would a relational database be more suitable for temporal data compared to a knowledge graph?
- How do the data modeling and querying differences between knowledge graphs and relational databases impact the complexity of data schema evolution?
- Can you discuss the potential impact of using a knowledge graph on data integration and interoperability with existing relational databases?
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