Amazon QuickSight Launches Multi-Dataset Relationships for Data Modeling
▶ The 60-second brief
Summary
Amazon QuickSight has introduced Multi-Dataset Relationships, allowing users to define logical connections between datasets and perform runtime joins. This new feature eliminates the need for pre-flattening tables, enabling more flexible data modeling within QuickSight Topics.
Why it matters
Data professionals can now build more agile and less redundant data models in Amazon QuickSight, improving query performance and simplifying the management of complex analytical environments.
How to implement this in your domain
- 1Explore the new Multi-Dataset Relationships feature within Amazon QuickSight.
- 2Identify existing flattened datasets that could benefit from being broken into related individual datasets.
- 3Define logical relationships between your QuickSight datasets using the new capability.
- 4Test query performance and data accuracy with the new multi-dataset relationships.
- 5Update data modeling best practices and documentation for your team.
Who benefits
Key takeaways
- Amazon QuickSight now supports Multi-Dataset Relationships.
- This enables runtime joins between datasets.
- Pre-flattening tables is no longer always necessary.
- Data modeling becomes more flexible and efficient.
Original post by Ying Wang
"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…"
View on XOriginally posted by Ying Wang on X · view source
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