Hybrid data architecture for use within a cognitive environment
A method for receiving a plurality of types of data within a cognitive information processing system environment comprising: receiving data from a plurality of data sources, the plurality of data sources comprising a public data source and a private data source; accessing information from the plurality of data sources via a cognitive data management module; and, providing the information to an inference and learning system.
1. A method for receiving a plurality of types of data within a cognitive information processing system environment comprising:
receiving data from a plurality of data sources, the plurality of data sources comprising a public data source and a private data source, the public data source comprising publicly available information stored in a hosted cognitive repository, the private data source comprising privately managed company specific information stored in a private network repository;
accessing information from the public data source and the private data source;
providing the information to a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system comprising a cognitive platform executing on the information processing system, the cognitive platform and the information processing system performing a cognitive computing function, the cognitive platform comprising
a cognitive engine, the cognitive engine comprising a dataset engine, a graph query engine and an insight engine, the cognitive engine processing the streams of data from the plurality of data sources, the cognitive engine processing the publicly available information stored in the hosted cognitive repository and the privately managed company specific information stored in the private network repository to provide a cognitive insight, the dataset engine being implemented to establish and maintain a dynamic data ingestion and enrichment pipeline, the graph query engine being implemented to receive and process queries such that the queries are bridged into a cognitive graph, the insight engine being implemented to generate the cognitive insight from the cognitive graph, the dataset engine, the graph query engine and the insight engine operating collaboratively to generate the cognitive insight;
a sourcing agent, the sourcing agent sourcing the data from the plurality of data sources, and,
a destination agent, the destination agent publishing the cognitive insight to a destination.
2. The method of claim 1 , wherein:
the public data source comprises information accessible via a hosted cognitive cloud.
3. The method of claim 2 , wherein:
the hosted cognitive cloud comprises a hosted cognitive platform.
4. The method of claim 1 , wherein:
the private data source comprises information accessible via a private network.
5. The method of claim 4 , wherein:
the private network comprises an on-site private cognitive platform, the on-site private cognitive platform being located within and executing on the private network.
6. The method of claim 5 , wherein:
the private network comprises a private application, the private application providing information to and receiving information from the on-site private cognitive platform.
7. An information processing system comprising:
a hardware processor;
a data bus coupled to the processor; and
a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
receiving data from a plurality of data sources, the plurality of data sources comprising a public data source and a private data source, the public data source comprising publicly available information stored in a hosted cognitive repository, the private data source comprising privately managed company specific information stored in a private network repository;
accessing information from the public data source and the private data source;
providing the information to a cognitive inference and learning system, the cognitive inference and learning system executing on the hardware processor of the information processing system, the cognitive inference and learning system comprising a cognitive platform executing on the information processing system, the cognitive platform and the information processing system performing a cognitive computing function, the cognitive platform comprising
a cognitive engine, the cognitive engine comprising a dataset engine, a graph query engine and an insight engine, the cognitive engine processing the streams of data from the plurality of data sources, the cognitive engine processing the publicly available information stored in the hosted cognitive repository and the privately managed company specific information stored in the private network repository to provide a cognitive insight, the dataset engine being implemented to establish and maintain a dynamic data ingestion and enrichment pipeline, the graph query engine being implemented to receive and process queries such that the queries are bridged into a cognitive graph, the insight engine being implemented to generate the cognitive insight from the cognitive graph, the dataset engine, the graph query engine and the insight engine operating collaboratively to generate the cognitive insight;
a sourcing agent, the sourcing agent sourcing the data from the plurality of data sources, and,
a destination agent, the destination agent publishing the cognitive insight to a destination.
8. The information processing system of claim 7 , wherein:
the public data source comprises information accessible via a hosted cognitive cloud.
9. The information processing system of claim 8 , wherein:
the hosted cognitive cloud comprises a hosted cognitive platform.
10. The information processing system of claim 7 , wherein:
the private data source comprises information accessible via a private network.
11. The information processing system of claim 10 , wherein:
the private network comprises an on-site private cognitive platform, the on-site private cognitive platform being located within and executing on the private network.
12. The information processing system of claim 11 , wherein:
the private network comprises a private application, the private application providing information to and receiving information from the on-site private cognitive platform.
13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
receiving data from a plurality of data sources, the plurality of data sources comprising a public data source and a private data source, the public data source comprising publicly available information stored in a hosted cognitive repository, the private data source comprising privately managed company specific information stored in a private network repository;
accessing information from the public data source and the private data source;
providing the information to a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system comprising a cognitive platform executing on the information processing system, the cognitive platform and the information processing system performing a cognitive computing function, the cognitive platform comprising
a cognitive engine, the cognitive engine comprising a dataset engine, a graph query engine and an insight engine, the cognitive engine processing the streams of data from the plurality of data sources, the cognitive engine processing the publicly available information stored in the hosted cognitive repository and the privately managed company specific information stored in the private network repository to provide a cognitive insight, the dataset engine being implemented to establish and maintain a dynamic data ingestion and enrichment pipeline, the graph query engine being implemented to receive and process queries such that the queries are bridged into a cognitive graph, the insight engine being implemented to generate the cognitive insight from the cognitive graph, the dataset engine, the graph query engine and the insight engine operating collaboratively to generate the cognitive insight;
a sourcing agent, the sourcing agent sourcing the data from the plurality of data sources, and,
a destination agent, the destination agent publishing the cognitive insight to a destination.
14. The non-transitory, computer-readable storage medium of claim 13 , wherein:
the public data source comprises information accessible via a hosted cognitive cloud.
15. The non-transitory, computer-readable storage medium of claim 14 , wherein:
the hosted cognitive cloud comprises a hosted cognitive platform.
16. The non-transitory, computer-readable storage medium of claim 13 , wherein:
the private data source comprises information accessible via a private network.
17. The non-transitory, computer-readable storage medium of claim 16 , wherein:
the private network comprises an on-site private cognitive platform, the on-site private cognitive platform being located within and executing on the private network.
18. The non-transitory, computer-readable storage medium of claim 13 , wherein:
the private network comprises a private application, the private application providing information to and receiving information from the on-site private cognitive platform.
19. The non-transitory, computer-readable storage medium of claim 13 , wherein:
the computer executable instructions are deployable to a client system from a server system at a remote location.
20. The non-transitory, computer-readable storage medium of claim 13 , wherein:
the computer executable instructions are provided by a service provider to a user on an on-demand basis.