Hitachi, Ltd.

Mika Takata

Toshihiko Kashiyama

Satoshi Katsunuma

Tianben Ding

Prashant Kumar Sharma

Divya Singh

To improve resource utilization efficiency of query compliance check, which is check as to whether a query complies with a restriction imposed on data. The query compliance check is roughly divided into data flow policy check as to whether a data flow policy that defines a restriction on data transfer within a county or between countries is complied with, and organization rule check as to whether an organization rule that defines a restriction on sharing outside an organization is complied with, which are hierarchically configured. By analyzing a received query, a system identifies one or more data items as target input/output (I/O) data according to the query, and executes the data flow policy check on the identified one or more data items. When a result of the data flow policy check is false, the system returns a result that the query is compliance violation without executing the organization rule check.

Query processing system and method

Provided are a data management apparatus, a data management system, and a data management method capable of creating an alternative for a useful query when a query for operating a database violates a data handling regulation of the database. When data scheduled to be generated based on the database by the query violates a rule that is the data handling regulation of the database, a data processing server generates an alternative query candidate to replace the query. The data processing server determines whether the alternative query candidate violates the rule by determining whether data scheduled to be generated based on the database by the alternative query candidate complies with the rule. When the alternative query candidate does not violate the rule, the data processing server proposes the alternative query candidate as an alternative query.

Data management apparatus, data management system, and data management method

In the present invention, there is provided a data integration method executed by a data integration system that corrects inconsistency in type or quality between first data and second data stored in a data lake. The method includes a feature value calculation step of calculating feature values of the first data and the second data, an inconsistency detection step of detecting the inconsistency between the first data and the second data based on the feature values, and a data adjustment step of correcting the inconsistency by using an integrated view according to a request to acquire the first data and the second data from a user.

Growing community of inventors

Tokyo, Japan

Mika Takata