Joel specializes in finding answers using geography, specifically deriving actionable information from geographic data. Almost all data has some geographic relevance. However, defining the geography in the right context to discover the correct geographic relevance, this is somewhat more challenging. Joel has spent the better part of his career working with Geographic Information Systems, GIS, to unearth information from these geographic relationships. As the size of data has grown, the demands on technology have exponentially increased and have had to evolve. This has led Joel into the world of big data to continue to apply geography, but at a much larger scale.
Would you like to generate meaningful insights with your geolocation data? Are you trying to run these queries at Petabyte scale? Join this talk to understand how you can scale ESRI's geospatial expertise with Databricks.
In light of the global coronavirus pandemic in 2020, we will take a look at how we analyze movement data and determine the impact of human movement during these times. We will showcase several key technical concepts in our talk -- dimensionality reduction with geoindexing, leveraging Delta Lake for geospatial query performance, and quantifying the risk introduced by human movement using a Human Movement Index.
At the end of this session, you will gain a better understanding of how you can derive insights into human movement at scale, which is a repeatable pattern that is highly applicable across industries.