BIG DATA ANALYTICS BROKERAGE

摘要

In one embodiment, a computer-implemented method includes receiving a query. A target confidence level is established for the query, the target confidence level representing a requested level of accuracy for a result of the query. At least one individual confidence level is assigned to each of a plurality of analytics engines. One or more analytics engines are queried based on the query. A group of the analytics engines are selected, by a computer processor, where the analytics engines in the selected group have query responses to the query that are deemed to be similar to one another, and where the selection of the selected group is at least partially based on the target confidence level. The query responses from the selected group of analytics engines are summarized into a final result, where the final result is an answer to the query.

主权项

1. A computer-implemented method, comprising:
receiving a query; establishing a target confidence level for the query, the target confidence level representing a requested level of accuracy for a result of the query; assigning at least one individual confidence level to each of a plurality of analytics engines; querying one or more of the analytics engines based on the query; selecting, by a computer processor, a group of the analytics engines whose query responses to the query are deemed to be similar to one another, wherein the selection of the group is at least partially based on the target confidence level; and summarizing into a final result the query responses from the selected group of analytics engines, the final result being an answer to the query.