Просмотр новости
Найдите то, что Вас интересует
Спутники
РН
SpaceX
Роскосмос
NASA
СпутникиРНSpaceXРоскосмосNASAAWS Clean Rooms now supports minimum aggregation thresholds for the Custom analysis rule type. Minimum aggregation helps protect the privacy of individual data subjects by preventing queries from returning results about individuals or small groups. With this launch, organizations can enforce minimum aggregation on custom SQL queries, ensuring that every row a query outputs represents at least the specified number of distinct values (e.g., user IDs). Data providers in a collaboration can specify their identity column and a minimum identity count to enforce on a query’s output, with the option to set a higher threshold for specific columns.
Previously, enforcing minimum aggregation thresholds on custom SQL required data providers to rely on pre-approved analysis templates and manual code reviews before queries could run. Now, data providers can configure the minimum aggregation threshold for custom SQL using the Custom analysis rule type, without using pre-structured queries or manual approval processes. Additionally, data providers can specify which columns can be filtered or joined across datasets. For example, a publisher collaborating with an advertiser for media planning use cases can enable ad-hoc queries to run on their data—and small, rural zip codes with fewer than 1,000 common users can be automatically filtered out from the result to help protect user privacy.
AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
AWS Clean Rooms now supports minimum aggregation thresholds for the Custom analysis rule type. Minimum aggregation helps protect the privacy of individual data subjects by preventing queries from returning results about individuals or small groups. With this launch, organizations can enforce minimum aggregation on custom SQL queries, ensuring that every row a query outputs represents at least the specified number of distinct values (e.g., user IDs). Data providers in a collaboration can specify their identity column and a minimum identity count to enforce on a query’s output, with the option to set a higher threshold for specific columns.
Previously, enforcing minimum aggregation thresholds on custom SQL required data providers to rely on pre-approved analysis templates and manual code reviews before queries could run. Now, data providers can configure the minimum aggregation threshold for custom SQL using the Custom analysis rule type, without using pre-structured queries or manual approval processes. Additionally, data providers can specify which columns can be filtered or joined across datasets. For example, a publisher collaborating with an advertiser for media planning use cases can enable ad-hoc queries to run on their data—and small, rural zip codes with fewer than 1,000 common users can be automatically filtered out from the result to help protect user privacy.
AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | AWS Clean Rooms supports exporting privacy-enhanced analysis logs for SQL | 0 | 6.16 | 11-08-2026 |
| 2 | Amazon Quick supports multi-dataset analytical capabiity | 0 | 6.83 | 06-08-2026 |
| 3 | Amazon S3 Metadata and annotations are now available in AWS GovCloud (US) Regions | 0 | 7.66 | 18-08-2026 |
| 4 | AWS Glue adds one-click access to SageMaker Unified Studio from the AWS console | 0 | 3.82 | 11-08-2026 |
| 5 | Amazon SageMaker Unified Studio now supports data profiling and anomaly detection | 0 | 5.62 | 18-08-2026 |
| 6 | Amazon Quick now supports data loss prevention with Microsoft Purview | 0 | 5.78 | 14-08-2026 |
| 7 | AWS Glue Data Quality makes ETL anomaly detection free and improves anomaly predictions | 0 | 6.79 | 05-08-2026 |
| 8 | AWS Network Firewall Now Supports Stateful Rule Hit Counts | 0 | 21.2 | 17-08-2026 |
| 9 | AWS WAF now supports a Salt Security managed rule group for API and MCP threat detection | 0 | 6.5 | 06-08-2026 |
| 10 | Amazon Quick now supports customizable no data messages for visuals | 0 | 4.36 | 14-08-2026 |