ArcGIS GeoAnalytics Engine

Spatial analysis in Azure Synapse Analytics with ArcGIS GeoAnalytics Engine

In today’s data-driven world, organizations are constantly seeking new ways to analyze and derive insights from vast amounts of data. One increasingly popular approach is geospatial analysis, which involves examining location-based data to uncover patterns and trends that can inform decision-making.

Esri partnered with Microsoft on a blog to showcase how cross-industry use cases involving big data can be analyzed by integrating ArcGIS GeoAnalytics Engine with Azure Synapse Analytics, a cloud-based analytics service that offers a unified experience for organizations to process, manage, and analyze data. GeoAnalytics Engine delivers a Spark-native solution for spatial big data analytics by providing a comprehensive library of cloud-native spatial functions and analysis tools that can be used wherever the data lives.

Read the blog to explore how this integration can enable organizations to perform powerful geospatial analysis on their data by leveraging the capabilities of both Azure Synapse Analytics and ArcGIS GeoAnalytics Engine to drive better business outcomes.

ArcGIS GeoAnalytics Engine architecture for an Azure Synapse Analytics spark environment
GeoAnalytics Engine architecture for an Azure Synapse Analytics spark environment

This is a collaborative blog from Esri and Microsoft. Thank you to Zac Hall, a Director of Partner Technology Strategy at Microsoft, for his contribution.

About the authors

Arif Masrur is a Sr. Solutions Engineer for Esri's Data Science and Advanced Analytics capability. Arif received a PhD in Geography (Specialized in GIScience) from Penn State, an MA in Geography (GIS and Cartography) from University of Northern Iowa, an MS and a BS in Geography and Environment from University of Dhaka, Bangladesh.

Connect:

Corinne is a Product Marketing Manager on Esri’s Spatial Analytics & Data Science team. She has a background in marketing and business analytics with experience working in the technology and geospatial industries.

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