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New Product Streamlines and Optimizes Spatial Analysis for Big Data Workflows

REDLANDS, Calif. – Globally, organizations across all industries are using big data to improve operations, manage supply chains, and improve customer service experiences to gain competitive advantage and increase their profits. Spatial analysis of big data provides essential insights into where, when and why things are happening, information that cannot be obtained from other types of data analysis. To ensure that this information is accessible in the decision-making process, Esri, the world leader in location intelligence, has released ArcGIS GeoAnalytics Engine.

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This new product provides an intuitive cloud-based choice capability that works within existing analytics workflows without requiring additional technology or training. Data scientists can perform spatial analysis wherever their data is stored (in a data lake, data warehouse, or ArcGIS software), saving time and money moving volumes of data outside of cloud environments. The product is a comprehensive spatial analytics library native to Spark, a unified analytics engine for big data and machine learning.

“Industries, from insurance and financial services to defense and intelligence, must increasingly use big data to drive decision-making,” said Lauren Bennett, head of spatial analytics and science. data at Esri. “The more data an organization analyzes, the more critical it becomes to make sense of it in the real world. Geospatial analysis uses location as a common thread to detect patterns, uncover hidden relationships, and improve predictive modeling.

Data scientists face several obstacles when integrating spatial analysis into big data analysis workflows. They often lack specialist knowledge and must use multiple disconnected packages, and big data processing environments are not designed to support spatial analysis.

ArcGIS GeoAnalytics Engine enables data scientists to overcome these operational and expertise challenges while allowing them to quickly deliver results to stakeholders. The product runs in Spark environments commonly used for big data analysis. This includes Databricks, Amazon EMR, and Dataproc, which are Spark environments available from major cloud providers such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud.

“The combined power of Amazon EMR’s big data platform and Esri’s ArcGIS GeoAnalytics engine enables our customers, regardless of spatial expertise, to seamlessly leverage ArcGIS spatial tools and capabilities. GeoAnalytics Engine in their big data analytics and models,” said Abhishek Ram, Product Manager, Global Public Sector, Amazon Web Services.

For more information and to stay informed of the latest offers, visit the ArcGIS GeoAnalytics Engine web page.

About Esri

Esri, the global market leader in geographic information system (GIS), geolocation, and mapping software, helps customers harness the power of data to improve operational and business results. Founded in 1969 in Redlands, California, USA, Esri software is deployed in more than 350,000 organizations worldwide and more than 200,000 institutions in the Americas, Asia and the Pacific, Europe, Africa and in the Middle East, including Fortune 500 companies and government agencies. , non-profit organizations and universities. Esri has regional offices, international distributors, and local support partners in more than 100 countries on six continents. With its pioneering commitment to geospatial information technology, Esri designs the most innovative solutions for digital transformation, the Internet of Things (IoT), and advanced analytics. Visit us at

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Jo Ann Pruchniewski
Public Relations, Esri
Mobile: 301-693-2643
Email: [email protected]