Interactive visualization of multiple data sources across multiple computers
A data pool receives first data derived from user-generated input that identifies events that have occurred at the corresponding remote first computing system. Thereafter, the data pool generates messages based on the identified events that specify data to be extracted from each of a plurality of data sources. The data pool then transmits data comprising the generated messages to at least one of a plurality of data daemons. The data pool subsequently receives second data extracted and processed by the data daemons in response to the transmitted data. In addition, the data pool transmits at least a portion of the received second data to at least one remote second computing system to enable the remote second computing system to render visualizations that are based on the received data and which are displayed within at least one data lens that overlays a substrate in the graphical user interface.
1. A method comprising:
receiving first data derived from a user-generated input on a first computing system, wherein the first data identifies events at the first computing system;
generating messages based on the identified events, wherein the identified events specify data to be extracted from each of a plurality of data sources including a first data source;
transmitting the generated messages to at least one of a plurality of data daemons including a first data daemon, wherein each data daemon is connected to a different data source among the plurality of data sources, wherein the first data source is connected to the first data daemon;
receiving second data extracted from the first data source, wherein the first data source is processed by the first data daemon in response to the transmitting the generated messages; and
transmitting at least a portion of the received second data to a second computing system to enable the second computing system to render, in a graphical user interface, visualizations that are based on the received second data, wherein the visualizations are displayed within at least one data lens that overlays a substrate in the graphical user interface.
2. A method as in claim 1 , wherein the first data is generated by at least one coordination pool in communication with at least one input device.
3. A method as in claim 2 , wherein the at least one input device is used to control at least one of: an instantiation, a deletion, a relative position, or a size of one or more data lenses.
4. A method as in claim 2 , wherein the at least one input device is used to control at least a size of the substrate.
5. A method as in claim 2 , wherein the at least one input device is used to specify display elements to be included with the at least one data lens.
6. A method as in claim 1 , wherein the second data comprises visualizations generated by the first data daemon.
7. A method as in claim 1 , wherein the at least one data lens is partially transparent so that features on the substrate can be viewed.
8. A method as in claim 1 , wherein two or more data lenses each partially overlap with another data lens.
9. A method as in claim 1 , wherein the second computing system includes two or more computing systems that provide a unified and non-duplicative visualization.
10. A method as in claim 1 , further comprising:
causing at least one code to be displayed on, or adjacent to, the substrate, the code being used by the first computing system to connect to the second computing system via a data pool.
11. A method as in claim 1 , wherein the first computing system is the same computing system as the second computing system.
12. A method as in claim 1 , wherein the first computing system at least partially differs from the second computing system.
13. A method as in claim 1 , wherein the second data comprises tags identifying a corresponding data lens in which at least one of the visualizations is to be displayed.
14. A system comprising:
at least one data processor; and
at least one memory storing instructions which, when executed by the at least one data processor, result in operations comprising:
receiving first data derived from a user-generated input on a first computing system, wherein the first data identifies events at the first computing system;
generating messages based on the identified events, wherein the identified events specify data to be extracted from each of a plurality of data sources including a first data source;
transmitting the generated messages to at least one of a plurality of data daemons including a first data daemon, wherein each data daemon is connected to the different data source among a plurality of data sources, wherein the first data source is connected to the first data daemon;
receiving second data extracted from the first data source, wherein the first data source is processed by the first data daemon in response to the transmitting the generated messages; and
transmitting at least a portion of the received second data to a second computing system to enable the second computing system to render, in a graphical user interface, visualizations that are based on the received second data, wherein the visualizations are displayed within at least one data lens that overlays a substrate in the graphical user interface.
15. A system as in claim 14 , wherein the first data is generated by at least one coordination pool in communication with at least one input device.
16. A system as in claim 15 , wherein the at least one input device is used to control at least one of: an instantiation, a deletion, a relative position, a size of one or more data lenses, or a size of the substrate.
17. A system as in claim 15 , wherein the at least one input device is used to specify display elements to be included with the at least one data lens.
18. A system as in claim 14 , wherein the second data comprises visualizations generated by the first data daemon.
19. A system as in claim 14 , wherein the at least one data lens is partially transparent so that features on the substrate can be viewed, wherein two or more data lenses each partially overlap with another data lens, wherein the second computing system includes two or more computing systems that provide a unified and non-duplicative visualization, and wherein a code is displayed on or adjacent to the substrate, the code being used by the first computing system to connect with the second computing system via a data pool.
20. A non-transitory computer program product storing instructions which, when executed by at least one data processor, result in operations comprising:
at least one data processor forming part of at least one computing system; and
memory storing instructions which, when executed by the at least one data processor, result in operations comprising:
receiving first data derived from a user-generated input on a first computing system, wherein the first data identifies events at the first computing system;
generating messages based on the identified events, wherein the identified events specify data to be extracted from each of a plurality of data sources including a first data source;
transmitting the generated messages to at least one of a plurality of data daemons including a first data daemon, wherein each data daemon is connected to the different data source among a plurality of data sources, wherein the first data source is connected to the first data daemon;
receiving second data extracted from the first data source, wherein the first data source is processed by the first data daemon in response to the transmitting the generated messages; and
transmitting at least a portion of the received second data to a second computing system to enable the second computing system to render, in a graphical user interface, visualizations that are based on the received second data, wherein the visualizations are displayed within at least one data lens that overlays a substrate in the graphical user interface.