System and method for facilitating data visualization via a map-reduce framework
View Patent ↗In one embodiment, a method includes receiving a request for data visualization. The request specifies input data, at least one user query, and a data-visualization type. The method further includes inferring at least one additional query based on a user-interface (UI) range of freedom associated with the request. In addition, the method includes causing a map-reduce framework to process the input data according to the at least one user query and the at least one additional query. The causing yields resultant data. Further, the method includes storing in a cache a portion of the resultant data that relates to the at least one additional query. The method also includes generating the requested data visualization based on a portion of the resultant data that relates to the at least one user query.
1. A method comprising:
on at least one server computer, receiving a request for data visualization;
wherein the request specifies input data, at least one user query, and a data-visualization type;
inferring, by the at least one server computer without user-modification of the request, at least one additional query not specified by the at least one user query based on a user-interface (UI) range of freedom associated with the request, wherein the UI range of freedom encompasses a plurality of modifications collectively enabled by a plurality of UI controls of a visualization interface on which the requested visualization will be served;
the at least one server computer causing a map-reduce framework to process the input data according to the at least one user query and the at least one additional query, the causing yielding resultant data;
the at least one server computer storing in a cache a portion of the resultant data that relates to the at least one additional query;
the at least one server computer generating the requested data visualization based on a portion of the resultant data that relates to the at least one user query; and
serving the requested visualization on the visualization interface.
2. The method of claim 1 , comprising, prior to the causing:
configuring one or more map-reduce filters based on the input data, the at least one user query, and the at least one additional query; and
sequencing the one or more map-reduce filters.
3. The method of claim 2 , wherein the causing comprises applying the one or more map-reduce filters on the map-reduce framework.
4. The method of claim 1 , wherein the UI range of freedom comprises semantic zooming on the data visualization.
5. The method of claim 4 , wherein the inferring comprises:
determining at least one level of granularity beyond the request; and
fashioning at least one query at the at least one level.
6. The method of claim 1 , wherein:
the UI range of freedom comprises at least one additional data operation; and
fashioning at least one query related to the at least one additional data operation.
7. The method of claim 1 , wherein:
the UI range of freedom comprises at least one additional data relationship; and
fashioning at least one query related to the at least one additional data relationship.
8. The method of claim 1 , comprising, as a modification to the request is received via the visualization interface:
determining whether the cache fulfills at least one new user query specified by the modification; and
responsive to a determination that the cache fulfills the at least one new user query:
retrieving data from the cache that fulfills the at least one new user query;
generating an updated data visualization based on the retrieved data; and
serving the updated data visualization on the visualization interface.
9. The method of claim 8 , comprising, as the modification to the request is received via the visualization interface:
inferring at least one new additional query based on a user-interface (UI) range of freedom associated with the modification;
causing the map-reduce framework to perform additional processing of the input data according to the at least one new additional query, the additional processing yielding new resultant data relating to the at least one new additional query; and
generating an updated data visualization based on the new resultant data relating to the at least one new additional query.
10. The method of claim 9 , comprising:
wherein, responsive to a determination that the cache does not fulfill the at least one new user query, the additional processing comprises additional processing of the input data according to the at least one new user query, the causing to perform additional processing yielding new resultant data relating to the at least one new user query; and
generating an updated data visualization based on the new resultant data relating to the at least one new user query.
11. The method of claim 1 , wherein the inferring comprises analyzing the UI range of freedom.
12. The method of claim 1 , wherein the data-visualization type is selected from the group consisting of: a scatterplot, a pie chart, a table, a bar chart, a geospatial representation, a heat map, a chord chart, an interactive graph, a bubble chart, a candlestick chart, a stoplight chart, and a spring graph.
13. An information handling system, comprising:
at least one processor, wherein the at least one processor is operable to perform a method comprising:
receiving a request for data visualization;
wherein the request specifies input data, at least one user query, and a data-visualization type;
inferring, without user-modification of the request, at least one additional query not specified by the at least one user query based on a user-interface (UI) range of freedom associated with the request, wherein the UI range of freedom encompasses a plurality of modifications collectively enabled by a plurality of UI controls of a visualization interface on which the requested visualization will be served;
causing a map-reduce framework to process the input data according to the at least one user query and the at least one additional query, the causing yielding resultant data;
storing in a cache a portion of the resultant data that relates to the at least one additional query;
generating the requested data visualization based on a portion of the resultant data that relates to the at least one user query; and
serving the requested visualization on the visualization interface.
14. The information handling system of claim 13 , comprising:
wherein the UI range of freedom comprises semantic zooming on the data visualization; and
wherein the inferring comprises:
determining at least one level of granularity beyond the request; and
fashioning at least one query at the at least one level.
15. The information handling system of claim 13 ,
wherein the method comprises, as a modification to the request is received via the visualization interface:
determining whether the cache fulfills at least one new user query specified by the modification; and
responsive to a determination that the cache fulfills the at least one new user query:
retrieving data from the cache that fulfills the at least one new user query;
generating an updated data visualization based on the retrieved data; and
serving the updated data visualization on the visualization interface.
16. The information handling system of claim 15 , wherein the method comprises, as the modification to the request is received via the visualization interface:
inferring at least one new additional query based on a user-interface (UI) range of freedom associated with the modification;
causing the map-reduce framework to perform additional processing of the input data according to the at least one new additional query, the additional processing yielding new resultant data relating to the at least one new additional query; and
generating an updated data visualization based on the new resultant data relating to the at least one new additional query.
17. The information handling system of claim 16 , comprising:
wherein, responsive to a determination that the cache does not fulfill the at least one new user query, the additional processing comprises additional processing of the input data according to the at least one new user query, the causing to perform additional processing yielding new resultant data relating to the at least one new user query; and
wherein the method comprises generating an updated data visualization based on the new resultant data relating to the at least one new user query.
18. A computer-program product comprising a non-transitory computer-usable medium having computer-readable program code embodied therein, the computer-readable program code adapted to be executed to implement a method comprising:
receiving a request for data visualization;
wherein the request specifies input data, at least one user query, and a data-visualization type;
inferring, without user-modification of the request, at least one additional query not specified by the at least one user query based on a user-interface (UI) range of freedom associated with the request, wherein the UI range of freedom encompasses a plurality of modifications collectively enabled by a plurality of UI controls of a visualization interface on which the requested visualization will be served;
causing a map-reduce framework to process the input data according to the at least one user query and the at least one additional query, the causing yielding resultant data;
storing in a cache a portion of the resultant data that relates to the at least one additional query;
generating the requested data visualization based on a portion of the resultant data that relates to the at least one user query; and
serving the requested visualization on the visualization interface.