Geospatial analytics is intriguing to several industries and organizations as it provides a spatial context to obtain valuable insights and facilitates decision-making processes by integrating spatial data with business data thereby offering a deeper understanding of spatial relationships, patterns, and trends. It spans sectors like banking (demographics clustering, fraud detection), insurance (wildfire modelling, flood risk assessment), energy (customer mapping), transport, and real estate, offering versatile insights.

Technological advancements such as cloud computing, artificial intelligence, machine learning have further accelerated the growth of geospatial analytics. The global market for Geospatial analytics is projected to grow from USD 78.5 billion in 2023 to USD 141.9 billion by 2028. Leveraging geospatial analytics on Databricks Lakehouse opens a realm of possibilities for organizations seeking comprehensive insights into spatial data. In this recorded webcast Thorogood Data and AI consultsant Apoorv Tandon gives an overview of geospatial analytics with Databricks Lakehouse.

What to expect

• An Introduction to Geospatial Analytics
• Navigate through the landscape of Geospatial analytics market and industry trends.
• An exploration into the Lakehouse Architecture for Geospatial analytics using Databricks.
• A brief demonstration on two use cases using Geospatial libraries, focusing on Databricks Mosaic and GeoPandas.

Is it for you?

• Do you have Geospatial data but unsure how it can help your organization?
• Would you like to explore how Databricks can contribute to Geospatial Data Processing?
• Are you looking to build a Geospatial Lakehouse?