Using Every Pixel to Visualize Big Data
Date: This event took place live on November 08 2013
Presented by: Lynwood Bishop
Duration: Approximately 60 minutes.
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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.
In this webcast session we will cover:
About Lynwood Bishop
Lynwood Bishop is President of Map Large, Inc.
Dynamic Visualization of Big Data: The MapLarge API can render millions of interactive points and shapes with no pre-caching or client side processing.
MapLarge maintains a cutting edge data visualization API for dynamic maps, charts and interactive query interfaces with machine assisted pattern recognition and data mining analytics. Our distributed platform has utilized thousands of servers to process large jobs. We can provide both existing product and R&D services.
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