Open jhellier opened 9 years ago
+1
+1 I've also been using crossfilter to prototype "mid-sized" datasets in the browser to determine the actual combination of filtering + aggregation I want from a database
+1 Vadim gave a great presentation on this topic and has some great open libraries to integrate with databases
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Another aspect to explore with this is the visual aggregation and disaggregation. Looking for novel approaches to visually showing elements that represent collections of various complexity, breadth and depth.
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This could be a broader discussion of data reduction and interactions with "Big Data" systems like Hadoop and Spark, using techniques like sampling, filtering, and aggregation. This paper has a great overview of data reduction methods: imMens: Real-time Visual Querying of Big Data
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Large data sets are a challenge. What can we do to intelligently aggregate data to only show what the user needs while still giving hints or cues as to what lies underneath.
Possible Outcomes: