Using Every Pixel to Visualize Big Data
Visualizing patterns, relationships and anomalies in multi-sourced data is challenging when the number of records continues to grow exponentially. Many traditional methods of visualization for business intelligence and reporting aggregate the results into units which are easily computed and displaye...
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| Idioma: | Inglés |
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O'Reilly Media, Inc
2014.
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| Edición: | 1st edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629995206719 |
| Sumario: | Visualizing patterns, relationships and anomalies in multi-sourced data is challenging when the number of records continues to grow exponentially. Many traditional methods of visualization for business intelligence and reporting aggregate the results into units which are easily computed and displayed. However, these visuals often fail to reveal the true patterns of the underlying data. If we used more pixels in our visualizations we could see millions of data representations on a screen.Computing a value for each pixel is a difficult challenge because it often requires whole set aggregates and table scans. There are so many pixels that it quickly becomes efficient to render these visuals on the server.This webcast covers:Some favorite examples of big data visualizationsShow you how rendering every pixel can be an effective tool for analysisTools and architectural considerations necessary to create these visualizations for your organization |
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| Notas: | Title from title screen. Date of publication taken from resource description page. |
| Descripción Física: | 1 online resource (1 video file, approximately 38 min.) |
