4 posts found under,

tweetmap

Today, with great pride, MapD is announcing a partnership with the Harvard Center for Geographic Analysis (CGA). We will be working with CGA to build new geospatial functionality into the MapD Core database, to improve hydrological modeling and visualization and allow for more accurate flood prediction and water-supply estimation. By combining CGA’s geospatial expertise with our team’s knowledge of high-performance analytics, we hope to build MapD into an even better platform... read more

Click here to go directly to our Tweetmap. Our affection for Twitter data is well documented. In it we find volume, velocity and variety - but perhaps even more importantly we find the human element - manifested in 140 character snippets, photos, emojis and gifs. The very first instantiation of the Tweetmap was started by our founder, Todd Mostak, during his graduate work at Harvard. There, while looking at millions of Arab Spring tweets, he discovered there was no practic... read more

MapD was built from the ground up to enable fully interactive querying and visualization on multi-billion row datasets. An important feature of our system is the ability to visualize large results sets, regardless of their cardinality. Ordinary BI systems do fine when rendering standard bar or pie charts but often fall over when required to render the millions of records often associated with scatter plots, network graphs and various forms of geovisualization. Being able to... read more

While we love datasets of all shapes and sizes at MapD, Twitter holds a special place in our hearts. This is perhaps because we find Twitter data to be almost peerless among public datasets in its ability to provide a glimpse into the human experience - revealing what people are saying when and where. Twitter is powerful in that it provides insight into a wide variety of social phenomena both at the level of individual tweets as well as rolled up by user, geography or topic/... read more