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: 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: 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: 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 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, methods, and devices for generating a secure join of database data are disclosed. A method generates a secure user defined function (UDF) that includes a one-way hash. The method uses the secure UDF to convert datapoints of a first account and datapoints of a second account into a secure join key, which is unidentifiable to the first account and the second account based on the one-way hash. The method then determines a count value of overlapping datapoints between the first account and the second account based on the secure join key.

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. A first listing of the plurality of listings may include a reference to a first version of shared data within a first database, where the first version is one of a plurality of versions of the shared data within the first database. The method further includes receiving a request from a member of the data exchange for access to the first listing and limiting, by a processing device, access for the member to the first version of the shared data of the first database referenced by the first listing.

Abstract: A method of operating a data exchange includes creating a first listing referencing data of a first database of a plurality of databases, wherein the first listing comprises access controls and a data share associated with a first user, the access controls defining portions of the first database that are accessible by a second user, receiving a request from the second user for a bidirectional share between the portions of the first database that are accessible by the second user and portions of a second database controlled by the second user, and receiving an instruction from the first user to perform a database operation referencing data of the bidirectional share between the portions of the first database that are accessible by the second user and the portions of the second database controlled by the second user.

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: 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: Systems, methods, and devices for generating a secure join of database data are disclosed. A method creates a secure view of datapoints of a consumer account and processes, using a secure user defined function (UDF), the datapoints of the consumer account and datapoints of a provider account to generate a secure join key. The secure UDF returns a count of matching data points between the consumer account and the provider account, and the method provides the count of matching data points to the consumer account.

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, methods, and devices for generating a secure join of database data are disclosed. A method creates a secure view of datapoints of a consumer account and processes, using a secure user defined function (UDF), the datapoints of the consumer account and datapoints of a provider account to generate a secure join key. The secure UDF returns a count of matching data points between the consumer account and the provider account, and the method provides the count of matching data points to the consumer account.

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 method for accessing listings in a data exchange includes creating a first listing in a data exchange, the first listing referencing a first database of a plurality of databases and specifying identity-based sharing of the first database, creating a second listing in the data exchange, the second listing referencing a second database of the plurality of databases and data of the first database shared according to the identity-based sharing of the first database, and receiving an instruction from a user of the data exchange, the instruction referencing the second listing and instructing the addition of the second listing to a set of consumed data shares accessible by the user.

Abstract: Systems, methods, and devices for generating a secure join of database data are disclosed. A method creates a secure view of datapoints of a consumer account and processes, using a secure user defined function (UDF), the datapoints of the consumer account and datapoints of a provider account to generate a secure join key. The datapoints of the consumer account are provided to the secure UDF using the secure view. The method further performs, by a processor, an analysis of the datapoints of the consumer account and the datapoints of the provider account of the secure join key. The analysis returns a count value of overlapping datapoints between the consumer account and the provider account. The method further adjusts the count value of overlapping datapoints based on a number of distinct rows associated with the provider account, and provides the adjusted count value of overlapping datapoints to the consumer account.

Abstract: Providing access to metrics on a private data exchange is described. An example computer-implemented method can include executing one or more queries against data referenced by a data listing of a data exchange, the data exchange comprising a plurality of data listings provided by one or more data providers, gathering consumer information based on the one or more queries, assigning privileges that grant access to the consumer information to a share object, in response to the share object being added to a list of consumed share objects of a data provider that provided the data listing, generating a database that references the consumer information based on the share object, and granting access to the database to the data provider that provided the data listing.

Abstract: Systems, methods, and devices for generating a secure join of database data are disclosed. A method creates a secure view of datapoints of a consumer account and processes, using a secure user defined function (UDF), the datapoints of the consumer account and datapoints of a provider account to generate a secure join key. The datapoints of the consumer account are provided to the secure UDF using the secure view. The method further performs, by a processor, an analysis of the datapoints of the consumer account and the datapoints of the provider account of the secure join key. The analysis returns a count value of overlapping datapoints between the consumer account and the provider account. The method further adjusts the count value of overlapping datapoints based on a number of distinct rows associated with the provider account, and provides the adjusted count value of overlapping datapoints to the consumer account.