Just the other day I was reading the popular Australian music website fasterlouder.com.au and I came across an article that I found interesting. It was discussing the frustration live music fans have with bands not touring in areas outside the east coast of Australia. The original reddit post was made by Luke Penman – he drew this map to describe his frustration: Continue reading →
Following on from Digital mapping’s dynamic makeover, where I touched on the differences between a traditional tile service process, and one which is dynamic, we also discussed how the Dynamic Tile Service can render custom styles and colours on the map tiles it produces in real-time using CartoCSS.
In this post, I’ll be talking Big Data and how the Dynamic Tile Service solves the problem of viewing large datasets on maps in web browsers.
Tiling Big Data to speed up web browser performance
The recent explosion in the popularity of ‘Big Data’ has left many people scratching their heads as to how to properly view a large dataset. Web browsers are not built to download large amounts of data all in one go – so when we try to view a large dataset on a web map, it can feel like putting a square peg in a round hole.