Compliant entity conflation and access

A system, comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the system to:
• generate matches between a first set of entities in a first dataset from a first data provider and a second set of entities in a second dataset from a second data provider based on comparisons of a first set of fields in the first dataset with a second set of fields in the second dataset;
• modify a join query for joining the first and second datasets to include one or more operators representing one or more compliance rules for the first or second datasets, wherein the join query comprises a join predicate represented by the generated matches;
• execute the modified join query to produce, from the first and second datasets, a joined dataset that adheres to the one or more compliance rules;
• store at least one of the joined data set or data related to the joined dataset within one or more data stores within a platform that isolates the joined dataset from one or more additional datasets that are not from the first and second data providers;
• wherein the one or more data stores is based on a schema;
• identify, based on the schema, at least one of a searchable field or a unique field of the at least one of the joined data set or the data related to the joined dataset;
• in response to identifying the searchable field, store a first set of values of the searchable field in a first type of data store;
• in response to identifying the unique field, store a second set of values of the unique field in a second type of data store different from the first type of data store;
• and
• modify one or more queries of the stored data to include one or more additional operators that enforce one or more access control policies for the data.

At least one non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• generating matches between a first set of entities in a first dataset from a first data provider and a second set of entities in a second dataset from a second data provider based on comparisons of a first set of fields in the first dataset with a second set of fields in the second dataset;
• modifying a join query for joining the first and second datasets to include one or more operators representing compliance rules for the first or second datasets, wherein the join query comprises a join predicate represented by the generated matches;
• executing the modified join query to produce, from the first and second datasets, a joined dataset that adheres to the compliance rules;
• storing at least one of the joined data set or data related to the joined dataset within one or more data stores within a platform that isolates the joined dataset from one or more additional datasets that are not from the first and second data providers;
• wherein the one or more data stores is based on a schema;
• identifying, based on the schema, at least one of a searchable field or a unique field of the at least one of the joined data set or the data related to the joined dataset;
• in response to identifying the searchable field, storing a first set of values of the searchable field in a first type of data store;
• in response to identifying the unique field, storing a second set of values of the unique field in a second type of data store different from the first type of data store;
• and
• modifying one or more queries of the stored data to include one or more additional operators that enforce one or more access control policies for the data.