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 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: 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 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: 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: Techniques described herein can monitor various data metrics. The auto-insight techniques can further detect and rank data segments that contributed to, or counteracted, shifts in data and detect when such shifts occurred. Thus, the techniques described herein can detect and identify root causes in shifts in different metrics. The techniques include pruning and ranking causes to identify the root causes and identify non-relevant factors, as well.

Abstract: A method includes creating, by a first provider, a first listing referencing first shared data and comprising first access controls, wherein access to the first shared data by a second provider is filtered based on the first access controls, creating, by the second provider, a second listing referencing second shared data and the first shared data filtered based on the first access controls, and adding the second listing to a catalog in a data exchange, the catalog comprising metadata describing the second shared data.

Abstract: Systems and methods for managing membership in a private data exchange are provided herein. In one embodiment, the method includes receiving a request for access to a first listing of a data exchange, each listing of the data exchange comprising version metadata. The method further includes, in response to the request, accessing a first version of a data set referenced by the first listing, wherein the first version of the data set comprises a first structure defined by first version metadata, a second listing of the data exchange references a second version of the data set, the second version of the data set comprising a second structure defined by second version metadata, and the second structure is incompatible with the first structure.

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 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: Systems and methods for managing membership in a private data exchange are provided herein. In one embodiment, the method includes receiving a request for access to a first listing of a data exchange, each listing of the data exchange comprising version metadata. The method further includes, in response to the request, accessing a first version of a data set referenced by the first listing, wherein the first version of the data set comprises a first structure defined by first version metadata, a second listing of the data exchange references a second version of the data set, the second version of the data set comprising a second structure defined by second version metadata, and the second structure is incompatible with the first structure.

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: 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: 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: 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: 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: 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 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: Techniques described herein can monitor various data metrics. The auto-insight techniques can further detect and rank data segments that contributed to, or counteracted, shifts in data and detect when such shifts occurred. Thus, the techniques described herein can detect and identify root causes in shifts in different metrics. The techniques include pruning and ranking causes to identify the root causes and identify non-relevant factors, as well.

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.