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.
Over the coming weeks I’ll be talking about a new platform we’re calling the Dynamic Tile Service which delivers our high quality map tiles – in a jiffy.
As its name suggests, the Dynamic Tile Service creates map image tiles at the time when they are requested (dynamically) – rather than returning them from a pre-built cache of tile images. This has allowed us to add some pretty nifty features including the ability to support: