In order for synthetic data — completely artificial and private production data — to be useful, it must maintain these relationships (referential integrity) among the data, including preserving the data links that can stretch across multiple tables.
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Open it Referential integrity is a structural element that ensures that the relationships among different sets of data are accurate. In order for synthetic data — completely artificial and private production data — to be useful, it must maintain these relationships among the data, including preserving the data links that can stretch across multiple tables.
cost-effective deployment strategy. If it’s underpowered, the prediction quality doesn’t matter (since the infrastructure can’t properly serve the predictions).
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Open it cost-effective deployment strategy. If it’s underpowered, the prediction quality doesn’t matter (since the infrastructure can’t properly serve the predictions). If it’s overpowered, you’re effectively burning money on unused infrastructure and complexity