Abstract: Did you know that almost 94% of enterprise companies already use a cloud service? Yet large amounts of their analysis and data remain in silos, making it challenging for Data Scientists and analytics professionals to quickly and efficiently extract crucial business insights. And as more and more companies turn to location data to predict and optimize outcomes, finding ways to seamlessly create and enrich spatial models will be imperative.
In this talk with CARTO, we’ll walk through how to perform spatial analytics directly in the cloud - whether that’s Google BigQuery, Snowflake, Amazon Redshift, or other solutions such as Databricks. You’ll learn how to easily ingest location data into map visualizations and seamlessly unlock advanced spatial analyses using simple SQL commands, all within your data warehouse of choice.
Bio: Ian brings over 14 years of experience in the GIS and Location Intelligence space. As Customer Success Engineer at CARTO, Ian is instrumental in helping clients unlock the power of spatial analysis, using geospatial insights to solve some of their toughest business problems. He is particularly interested in the rise of cloud-native spatial data science and is passionate about helping organizations more effectively and efficiently leverage location data and geospatial techniques as a part of their day to day business.
