Data modeling best practices for Amazon Quick Sight multi-dataset relationships
Article summary
Quick briefing — cleaned from the original RSS feed
Today, we are excited to announce Multi-Dataset Relationships in Amazon Quick Sight. This new capability lets you define logical relationships between Quick Sight datasets and perform runtime joins at query time. Instead of flattening tables ahead of time, you keep each table as its own Quick Sight dataset and declare how those datasets relate to one another inside a Quick Sight Topic.
1Key Takeaways
- Today, we are excited to announce Multi-Dataset Relationships in Amazon Quick Sight.
- This new capability lets you define logical relationships between Quick Sight datasets and perform runtime joins at query time.
- Instead of flattening tables ahead of time, you keep each table as its own Quick Sight dataset and declare how those datasets relate to one another inside a Quick Sight Topic.
2AIWedia Score
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3Why it matters
Cloud AI updates influence enterprise budgets, latency, and which stack teams standardize on. AWS ML Blog reports that today, we are excited to announce Multi-Dataset Relationships in Amazon Quick Sight.
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