No location? No problem. Incorporating a spatial reference into your next project.
Ever wanted to visualize your data on a map? Or maybe you want to query your data based on location, but never got past a simple fuzzy match on an address field. In this talk, we will explore how to effectively add a geo dimension to your data in a way that can be extensible and easily searchable. We will discover quick and easy ways to visualize data using location paired with a base map so it can be seen in the context of space as well as how to summarize and effectively search it. We'll start with the basics by digging into different ways you can store location so you can take it beyond a dot on a map. Then we'll move on to what you can actually *do* with that data. Some examples you may see include: GIS desktop tools, geocoding, geo data association building, and more.
Prerequisites
A basic understanding of: - Databases (We will use Postgres in the examples, but any database experience is fine) - Geospatial concepts such as coordinate systems (ie. latitude and longitude)
Take Aways
- How to add a spatial component to data
- Understanding of available geospatial tooling
- How to visualize data on a map
- Scale geospatial data for speed of viewing and query ability