Accenture Global Services Gmbh

Nathan Shetterley

Colin Anil Puri

Scott Kurth

Carl Matthew Dukatz

Sonali Parthasarathy

Michael Evan Wendt

Joshua Patterson

Brad H Ruderman

Shan Lu

Vincent Dell'anno

Carl M Dukatz

Brad Ruderman

Michael Wendt

Vincent DELL'ANNO

According to an example, data acceleration may include receiving indications of levels of capabilities respectively needed for data movement, data processing, and data interactivity, and/or operational parameters associated with the data movement, the data processing, and the data interactivity. Data acceleration may further include determining, based on an analysis of the received indications and/or the operational parameters, specifications for the data movement to include streaming and/or batch, the data processing to include a big data platform, complex event processing, and/or an appliance, and the data interactivity to include an in-memory database (IMDB) and/or a distributed cache. Further, data acceleration may include generating, based on the determined specifications, a data acceleration architectural layout to meet the levels of capabilities respectively needed for the data movement, the data processing, and the data interactivity, and/or the operational parameters associated with the data movement, the data processing, and the data interactivity.

Data acceleration

A system acquires geocoded data, smoothes the geocoded data, and displays the smoothed geocoded data in a graphical visualization representative of the physical locations of the acquired geocoded data. The system obtains an indication of operational parameters for smoothing geocoded data, such as a data precision level, viewing window, data characteristics, and smoothing parameters. The system generates an area map that includes entries for each location in the viewing window (or other predetermined area) according to the data precision level. The system may populate any entries without associated data values with a zero value. To process the geocoded data, the system may determine a vector of interest from the area map and generate, for example, a single smoothing matrix that smoothes each of the values in the vector of interest. The system applies the smoothing matrix to the vector of interest.

Geospatial smoothing in web applications

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Nathan Shetterley