Abstract: A method includes generating a defined access clean room in a provider database account, as well as installing, in a consumer account, an application instance that implements the defined access clean room. The method also includes sharing, by the provider database account, source provider data with the defined access clean room, where the sharing makes the source provider data accessible to the consumer database account via the application instance. The method further includes sharing, by the provider database account, a query template with the consumer database account via the application instance. Additionally, the method includes receiving a query generated by the consumer database account based on the query template, validating that the query is consistent with the query template, responsively generating query results by executing the query, as well as storing the query results in the consumer database account.

Abstract: Systems and methods for managing membership in a private data exchange are provided herein. In one embodiment, the method includes generating a plurality of listings in a data exchange, each of the plurality of listings comprising version metadata and referencing a data set within a database. The method further includes receiving a request for access to a first listing of the plurality of listings and, in response to the request, accessing a first version of the data set that is compatible with first version metadata of the first listing.

Abstract: A system for generating similarity data for different datasets in a cloud data platform. A first dataset of a plurality of datasets on the cloud data platform is identified, where the first dataset is associated with a first user of the cloud data platform. A semantic type for each feature the first dataset is identified, and each semantic type for the first dataset is compared with existing data of the first user. Semantic types for each feature of each dataset are identified, and each semantic type for the first dataset is compared to each semantic type of each dataset. Overlap requests are generated to output overlap datasets between the first dataset and each of the plurality of datasets. A results dataset is generated by applying the overlap requests to a joined dataset comprising data from the first dataset and data from each of the plurality of datasets.

Abstract: Providing access to consumer information on a private data exchange is described. In an example, privileges are assigned to a share object, granting access to consumer information obtained from a query against data referenced by a data listing of a data exchange. The data exchange comprises one or more data listings provided by one or more data providers. In response to the share object being added to a list of consumed share objects of a data provider that provided the data listing, a database is generated that references the consumer information based on the share object. Access to the database is granted to the data provider that provided the data listing.

Abstract: A system for generating similarity data for different datasets in a cloud data platform. A first dataset of a plurality of datasets on the cloud data platform is identified, where the first dataset is associated with a first user of the cloud data platform. A semantic type for each feature the first dataset is identified, and each semantic type for the first dataset is compared with existing data of the first user. Semantic types for each feature of each dataset are identified, and each semantic type for the first dataset is compared to each semantic type of each dataset. Overlap requests are generated to output overlap datasets between the first dataset and each of the plurality of datasets. A results dataset is generated by applying the overlap requests to a joined dataset comprising data from the first dataset and data from each of the plurality of datasets.

Abstract: Systems, methods, and machine-readable storage devices provide for identifying a user dataset on a distributed database. The system includes generating a similarity score dataset that indicates a similarity between the user dataset and a plurality of datasets of other users of the distributed database. The system generates a plurality of overlap queries that are configured to output overlap datasets between the user dataset and one or more of the plurality of datasets. The system further generates a results dataset by applying one or more of the plurality of overlap queries to a joined dataset comprising data from the user dataset and one of the plurality of datasets of other users on the distributed database.

Abstract: First and second database accounts respectively share first and second source datasets with one another in a data clean room. The first database account stores a first approved-statements table that contains database statements that are permitted by the first database account to be executed against a combination of the shared first source dataset and the shared second source dataset. The second database account stores a second approved-statements table that contains database statements that are permitted by the second database account to be executed against the combination of the shared first source dataset and the shared second source dataset. One or more queries received from the first database account that are included in the second approved-statements table are processed, as are one or more queries received from the second database account that are included in the first approved-statements table.

Abstract: A distributed database generates a cross reference table that cross references a first dataset from a first database account and a second dataset from a second database account. The distributed database receives a query directed to a combination of the first and second datasets, and generates an interim table in the first database account by applying the query to the cross reference table and the first dataset. The distributed database generates results data in the second database account by applying the query to the interim table and the second dataset, and stores the results data in the first database account.

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 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 method includes receiving, from a client device, a request to access data of a data exchange platform. The method further includes receiving a selection corresponding to a monetization option for the data. The method further includes executing, by one or more processors, a monetization operation corresponding to the selection without directing the client device outside of the data exchange platform. The method further includes granting the client device access to the data of the data exchange platform in response to successfully performing the monetization operation.

Abstract: Provided herein are systems and methods for identity resolution and data enrichment. An example method performed by at least one hardware processor includes detecting at an account of a data provider, an update to personally identifiable information (PII). The PII is stored in a source table managed by an account of a data consumer. An identity resolution process is performed based on detecting the update. The identity resolution process includes generating a secure identifier of a user associated with the PII. The method further includes generating at the account of the data provider, a result table including the secure identifier. The result table is shared with the account of the data consumer.

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: 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: Sharing data in a data exchange across multiple cloud computing platforms and/or cloud computing platform regions is described. An example method can include generating a consumer account corresponding to a first cloud entity and receiving, by the first cloud entity, a copy of a data set from a provider account corresponding to a second cloud computing entity, wherein the first cloud computing entity and the second cloud computing entity represent different regions of a cloud computing platform. The method may also include accessing, by the consumer account, the copy of the data set.

Abstract: Systems and methods for managing membership in a private data exchange are provided herein. In one embodiment, the method includes generating a plurality of listings in a data exchange, each of the plurality of listings comprising version metadata and referencing a data set within a database. The method further includes receiving a request for access to a first listing of the plurality of listings and, in response to the request, accessing a first version of the data set that is compatible with first version metadata of the first listing.

Abstract: First and second database accounts respectively share first and second source datasets with one another in a data clean room. The first database account stores a first approved-statements table that contains database statements that are permitted by the first database account to be executed against a combination of the shared first source dataset and the shared second source dataset. The second database account stores a second approved-statements table that contains database statements that are permitted by the second database account to be executed against the combination of the shared first source dataset and the shared second source dataset. One or more queries received from the first database account that are included in the second approved-statements table are processed, as are one or more queries received from the second database account that are included in the first approved-statements table.

Abstract: Providing access to consumer information on a private data exchange is described. In an example, privileges are assigned to a share object, granting access to consumer information obtained from a query against data referenced by a data listing of a data exchange. The data exchange comprises one or more data listings provided by one or more data providers. In response to the share object being added to a list of consumed share objects of a data provider that provided the data listing, a database is generated that references the consumer information based on the share object. Access to the database is granted to the data provider that provided the data listing.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for sharing, on a distributed database, a database application to a first user of the distributed database, the database application generated by a second user of the distributed database. The training dataset includes a first database training dataset from the first user of the distributed database and a second database training dataset from the second user of the distributed database, the first database training dataset and the second database training dataset including non-overlapping dataset features. The database application further identifies a query from the second user to train the machine learning model on the training dataset and generates a trained machine learning model by training the machine learning model on a joined dataset according to the query. The database application generates outputs from the trained machine learning model by applying the trained machine learning model on new 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.