Abstract: A unified data fabric for controlling data lifecycles and data flows between trusted data sources and data clients is described herein. A system can include a data ingestion engine and a data delivery engine. The data ingestion engine and the data delivery engine are connected to a data lifecycle engine that maintains data control policies and access control policies. The data ingestion engine is configured to control ingestion of data elements into the unified data fabric based on the data control policies, and the data delivery engine is configured to control access to data elements in the unified data fabric based on access control policies. Each data element from one or more trusted data sources is associated with a global identifier to provide a comprehensive view of information about a constituent from a variety of disparate data sources.

Abstract: A method of integrating data across multiple data stores is provided. The method includes ingesting diverse data from multiple data sources and reconciling the ingested diverse data by updating semantic models based on the ingested diverse data. The method further includes storing the ingested diverse data based on one or more classification of the data sources according to the semantic models and automatically generating scalable service endpoints that are semantically consistent according to the classification of the data sources. The generated scalable service endpoints are application programming interfaces. The method also includes determining a protocol based on the scalable service endpoints in response to receiving a call from the one or more recipient systems and responding to the call from the one or more recipient systems by providing data in the classification of the data sources.

Abstract: An embodiment of the disclosure provides a method of integrating data across multiple data stores in a smart cache in order to provide data to one or more recipient systems. The method includes automatically ingesting diverse data from multiple data sources, automatically reconciling the ingested diverse data by updating semantic models based on the ingested diverse data, storing the ingested diverse data based on one or more classification of the data sources according to the semantic models, automatically generating scalable service endpoints which are semantically consistent according to the classification of the data sources, and responding to a call from the one or more recipient systems by providing data in the classification of the data sources.

Abstract: An embodiment of the disclosure provides a method of integrating data across multiple data stores in a smart cache in order to provide data to one or more recipient systems. The method includes automatically ingesting diverse data from multiple data sources, automatically reconciling the ingested diverse data by updating semantic models based on the ingested diverse data, storing the ingested diverse data based on one or more classification of the data sources according to the semantic models, automatically generating scalable service endpoints which are semantically consistent according to the classification of the data sources, and responding to a call from the one or more recipient systems by providing data in the classification of the data sources.

Abstract: A unified data fabric for controlling data lifecycles and data flows between trusted data sources and data clients is described herein. A system can include a data ingestion engine and a data delivery engine. The data ingestion engine and the data delivery engine are connected to a data lifecycle engine that maintains data control policies and access control policies. The data ingestion engine is configured to control ingestion of data elements into the unified data fabric based on the data control policies, and the data delivery engine is configured to control access to data elements in the unified data fabric based on access control policies. Each data element from one or more trusted data sources is associated with a global identifier to provide a comprehensive view of information about a constituent from a variety of disparate data sources.

Abstract: An embodiment of the disclosure provides a method of integrating data across multiple data stores in a smart cache in order to provide data to one or more recipient systems. The method includes automatically ingesting diverse data from multiple data sources, automatically reconciling the ingested diverse data by updating semantic models based on the ingested diverse data, storing the ingested diverse data based on one or more classification of the data sources according to the semantic models, automatically generating scalable service endpoints which are semantically consistent according to the classification of the data sources, and responding to a call from the one or more recipient systems by providing data in the classification of the data sources.