Redshift geohashing support

Now, let’s look at how Redshift Spectrum partitioning can be combined with geospatial data to efficiently query data. So, what is geohashing? Geohashing essentially takes the world and divides it into grids. By hashing latitude and longitude coordinates, we can create a hashmap that is assigned to those grids and group data into these grids. This grouping can then be used in conjunction with database partitioning. This is a powerful approach to segmenting and storing data in a data lake. Redshift supports geohashing, giving you the ability to write a SQL query and generate a geohash for latitude and longitude, which can then be used to reference your partition. A more specific example of this could involve dividing the world into four squares, named a, b, c, and d. So, now we write a SQL query to, say, select a column ID where the geohash equals a. Now, Redshift will only read the data in S3 from the a quadrant of the planet. This could still be potentially...