Abstract: Embodiments of the present disclosure may provide a data clean room allowing encryption based data analysis across multiple accounts, including different provider database user accounts that provide user data and a network service and a requesting user that generates one or more clean room requests. The data clean room may also restrict which data may be used in the analysis and may restrict the output.

Abstract: Embodiments of the present disclosure may provide a data clean room allowing encryption based data analysis across multiple accounts, including different provider database user accounts that provide user data and a network service and a requesting user that generates one or more clean room requests. The data clean room may also restrict which data may be used in the analysis and may restrict the output.

Abstract: Sharing data in a data exchange across multiple cloud computing platforms and/or cloud computing platform regions is described. An example computer-implemented method can include creating a listing in a data exchange, the listing including a data set hosted by a first cloud computing entity. The data set can be shared with a second cloud computing entity. The method further includes receiving a request associated with a customer account of the second cloud computing entity to access the data set of the listing hosted by the first cloud computing entity and replicating at least a subset of the data set of the listing from the first cloud computing entity to a provider account at the second cloud computing entity to be accessible by the customer account at the second cloud computing entity.

Abstract: A request to share cloud data associated with a first account in a database system with an application is received. Based on the request, second-party application data and third-party data that is accessible by the first account is identified. The second-party application data comprises application data corresponding to a second application provided by a second-party application provider. The third-party data corresponds to a second account maintained by the database system. The second account corresponds to a third-party data provider. The application is enabled to access the cloud data associated with the first account based on the request. The cloud data comprises customer data associated with the first account, second-party application data, and the third-party data.

Abstract: Disclosed herein are systems and methods for query processing with restrictions in a database clean room. In an embodiment, a system receives a query directed to a combination of a first source dataset from a first database account of a distributed database and a second source dataset from a second database account of the distributed database. The system generates an approved statements table that contains database statement language that can be executed against the combination of the first and second source datasets. Based on determining that the approved statements table includes the query, the system executes the query to produce results data, and stores the results data in the first database account.

Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.

Abstract: A request to share cloud data associated with a first account in a database system with an application is received. Based on the request, second-party application data and third-party data that is accessible by the first account is identified. The second-party application data comprises application data corresponding to a second application provided by a second-party application provider. The third-party data corresponds to a second account maintained by the database system. The second account corresponds to a third-party data provider. The application is enabled to access the cloud data associated with the first account based on the request. The cloud data comprises customer data associated with the first account, second-party application data, and the third-party data.

Abstract: Techniques for identity resolution and data enrichment include instantiating, at an account of a data consumer, an identity resolution application using an installer stored procedure. A data object is configured, at the account of the data consumer, to share log data generated by the identity resolution application with an account of a data provider. The identity resolution application is enabled, at the account of the data consumer, for an identity resolution process using source data based on an instruction originating from the account of the data provider. The instruction is based on the configuring of the data object.

Abstract: Sharing data in a data exchange across multiple cloud computing platforms is described. An example method includes copying, to a first cloud computing entity using a consumer account of the first cloud computing entity, a first subset of a data set associated with a provider account of a second cloud computing entity, wherein the provider account of the second cloud computing entity does not have access to the first cloud computing entity, and verifying existence of the first subset of the data set at the first cloud computing entity.

Abstract: Disclosed herein are systems and methods for query processing with restrictions in a database clean room. In an embodiment, a system receives a query directed to a combination of a first source dataset from a first database account of a distributed database and a second source dataset from a second database account of the distributed database. The system generates an approved statements table that contains database statement language that can be executed against the combination of the first and second source datasets. Based on determining that the approved statements table includes the query, the system executes the query to produce results data, and stores the results data in the first database account.

Abstract: Embodiments of the present disclosure may provide a data clean room allowing secure data analysis across multiple accounts, without the use of third parties. Each account may be associated with a different company or party. The data clean room may provide security functions to safeguard sensitive information. For example, the data clean room may restrict access to data in other accounts. The data clean room may also restrict which data may be used in the analysis and may restrict the output. The overlap data may be anonymized to prevent sensitive information from being revealed.

Abstract: A search engine of a data exchange may receive a query comprising a set of search terms, retrieve a plurality of data listings based on the search terms of the query, compare a first embedding generated by a large language model (LLM) from the search query to second embeddings generated by the LLM for each of the plurality of data listings to determine a respective relevance for each of the plurality of data listings to the search query, and rank the plurality of data listings based on the respective relevance for each of the plurality of data listings to the search query.

Abstract: Disclosed herein are systems and methods for query processing with restrictions in a database clean room. In an embodiment, a system receives a query directed to a combination of a first source dataset from a first database account of a distributed database and a second source dataset from a second database account of the distributed database. The system generates an approved statements table that contains database statement language that can be executed against the combination of the first and second source datasets. Based on determining that the approved statements table includes the query, the system executes the query to produce results data, and stores the results data in the first database account.

Abstract: Embodiments of the present disclosure may provide a data clean room architecture that dynamically restricts data included in the clean room. The data clean room architecture can implement row access policy or dynamic data masking for row and column based restrictions of data provided through the clean room. The data clean room architecture can provide a limited set of data that does not require obfuscation of data for direction matching and correlation of data in the different datasets, such as matching user identifiers or emails.

Abstract: Embodiments of the present disclosure may provide a data sharing system implemented as a local application of a distributed database. A query from a query template can be validated and executed against shared dataset that comprises portions of data from the database dataset and additional portions of data from another database of the distributed database.

Abstract: Sharing data in a data exchange across multiple cloud computing platforms is described. An example method can include copying, to a first cloud computing entity using a consumer account of the first cloud computing entity, a first subset of a data set associated with a provider account of a second cloud computing entity, wherein the provider account of the second cloud computing entity does not have access to the first cloud computing entity, and then copying, to a third cloud computing entity using a consumer account of the third cloud computing entity, a second subset of the data set, wherein the provider account of the third cloud computing entity does not have access to the first cloud computing entity, for which the first subset of the data set is different from the second subset of the data set.

Abstract: Embodiments of the present disclosure may provide a data sharing system implemented as a local application of a distributed database. A query from a query template can be validated and executed against shared dataset that comprises portions of data from the database dataset and additional portions of data from another database of the distributed database.

Abstract: Systems and methods for managing membership in a private data exchange are provided herein. In one embodiment, the method includes creating, in a first data exchange belonging to a first data provider, a first listing. The method further comprises creating, in a second data exchange belonging to a second data provider, a second listing, the second listing comprising a tunnel to the first listing. The method also includes generating, in the second data exchange, a third listing, the third listing comprising data from the second listing and additional data from the second data provider.

Abstract: Embodiments of the present disclosure may provide a data clean room allowing encryption based data analysis across multiple accounts of different database users. The data clean room may also restrict which data may be used in the analysis and may restrict the output. A requesting user's data can be encrypted using a key and a provider user can generate a shareable database function that accepts the key to decrypt the data to generate the results data without exposing each others' data.

Abstract: An advanced system for refining overlap queries in a database system based on user feedback. The system monitors interactions of a first user with a first dataset on the database system, where the first dataset is associated with the first user. Feedback regarding the quality of a results dataset, generated from an executed overlap query, is received from the first user. This feedback informs the generation of a similarity score dataset that enhances the creation of new overlap queries. These new overlap queries are designed to output refined overlap datasets between the first dataset and a second dataset associated with a second user. A new joined dataset is generated by executing these overlap queries, comprising data from both the first and second datasets. A new results dataset is generated, providing the first user with refined recommendations based on additional feedback.