Data strategy can use geospatial data to provide organizations with insights for decision-making and operational optimization. By incorporating geospatial data (such as GPS coordinates, points, polygons and geographic boundaries), businesses can uncover patterns, trends, and relationships that might otherwise remain hidden across multiple industries, from aviation and transportation to environmental studies and urban planning. Processing and analyzing this geospatial data at scale can be challenging, especially when dealing with billions of daily observations.
In this post, we explore how to use Apache Sedona with AWS Glue to process and analyze massive geospatial datasets.
Introduction to geospatial data
Geospatial data is information that has a geographic component. It describes objects, events, or phenomena along with their location on the Earth’s surface. This data includes coordinates (latitude and longitude), shapes (points, lines, polygons),…
