Abstract: A method, a computer system, and a computer program product for data validation in a microservice environment is provided. Embodiments of the present invention may include receiving a request based on an application configuration validation. Embodiments of the present invention may include determining a schema is not defined based on the request. Embodiments of the present invention may include generating the schema using machine learning. Embodiments of the present invention may include using the generated schema for a plurality of validations.

Abstract: A method, a computer system, and a computer program product for data validation in a microservice environment is provided. Embodiments of the present invention may include receiving a request based on an application configuration validation. Embodiments of the present invention may include determining a schema is not defined based on the request. Embodiments of the present invention may include generating the schema using machine learning. Embodiments of the present invention may include using the generated schema for a plurality of validations.

Abstract: Systems, methods, and computer-readable media are disclosed for associating and reconciling disparate key-value pairs corresponding to a target entity across multiple organizational entities using a distributed match. A shared output mapping may be generated that associates and reconciles common and/or conceptually aligned key-value pairs across the multiple organizational entities. The shared output mapping allows any given organizational entity to leverage information known to other organizational entities about a target entity. In this manner, the organizational entities participate in an information sharing ecosystem that enables each organizational entity to provide a user with a more optimally customized user experience based on the greater breadth of information available through the shared output mapping.

Abstract: Embodiments include a computer-implemented method including identifying, by a primary computer device, a plurality of records, each record having one or more attributes; standardizing, by the primary computer device, each of the plurality of records; assigning, by the primary computer device, an index to one or more of the one or more attributes; providing, by the primary computer device, instructions for clustering the standardized plurality of records in parallel into one or more clusters, each cluster including records having the same index, the one or more clusters being in a group; receiving, by the primary computer device, one or more groups, each group including one or more clusters sharing a same index; and linking one or more of the plurality of records in a cluster with another one or more of the plurality of records in another cluster within a same group.

Abstract: A system and method for intelligent visualization of unstructured data in a column-oriented data table includes receiving unstructured data from a plurality of sources for recording into the column-oriented data table having a database schema using a plurality of keys to visualize one or more attributes in the column-oriented data table, determining that a semantically related key is used to visualize the one or more attributes contained in the unstructured data received from the plurality of sources, wherein the semantically related key is different from the plurality of keys and is not synchronized with the database schema of the column-oriented data table, formatting the unstructured data to synchronize the unstructured data with the database schema of the column-oriented data table, and outputting the synchronized unstructured data into the column-oriented data table so that the unstructured data is visualized according to the database schema of the column-oriented data table.

Abstract: Embodiments include a computer-implemented method including identifying, by a primary computer device, a plurality of records, each record having one or more attributes; standardizing, by the primary computer device, each of the plurality of records; assigning, by the primary computer device, an index to one or more of the one or more attributes; providing, by the primary computer device, instructions for clustering the standardized plurality of records in parallel into one or more clusters, each cluster including records having the same index, the one or more clusters being in a group; receiving, by the primary computer device, one or more groups, each group including one or more clusters sharing a same index; and linking one or more of the plurality of records in a cluster with another one or more of the plurality of records in another cluster within a same group.

Abstract: A system and method for intelligent visualization of unstructured data in a column-oriented data table includes receiving unstructured data from a plurality of sources for recording into the column-oriented data table having a database schema using a plurality of keys to visualize one or more attributes in the column-oriented data table, determining that a semantically related key is used to visualize the one or more attributes contained in the unstructured data received from the plurality of sources, wherein the semantically related key is different from the plurality of keys and is not synchronized with the database schema of the column-oriented data table, formatting the unstructured data to synchronize the unstructured data with the database schema of the column-oriented data table, and outputting the synchronized unstructured data into the column-oriented data table so that the unstructured data is visualized according to the database schema of the column-oriented data table.

Abstract: Systems, methods, and computer-readable media are disclosed for associating and reconciling disparate key-value pairs corresponding to a target entity across multiple organizational entities using a distributed match. A shared output mapping may be generated that associates and reconciles common and/or conceptually aligned key-value pairs across the multiple organizational entities. The shared output mapping allows any given organizational entity to leverage information known to other organizational entities about a target entity. In this manner, the organizational entities participate in an information sharing ecosystem that enables each organizational entity to provide a user with a more optimally customized user experience based on the greater breadth of information available through the shared output mapping.