Esri Unveils the ArcGIS GeoAnalytics Engine

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Around the world, organizations in all industries are using big data to improve their operations, manage their supply chains, and improve their user experience with customer service, to gain a competitive advantage and increase their profits. Big data spatial analysis provides critical information about where, when, and why an event is happening — information that cannot be obtained through other types of data analysis. To ensure this information is accessible for decision-making, Esri, the world leader in geospatial intelligence, is launching ArcGIS GeoAnalytics Engine.

This new product provides an intuitive, cloud-preferred capability that works within existing analytics workflows and requires no additional technology or training. Data scientists can perform spatial analysis regardless of where their data is stored—in a data lake, data warehouse, or ArcGIS software—saving time and effort. money on moving data volumes outside of cloud environments. This product is a comprehensive spatial analytics library, which is native to Spark, a unified analytics engine for big data as well as machine learning.

“All industries, from insurance to financial services, defense and intelligence, are increasingly required to use big data to make decisions,” said Lauren Bennett, head of spatial analytics and data science at Esri. “The more an organization analyzes data, the more crucial it is 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 hurdles when integrating spatial analytics into big data analytics workflows. They often lack specialized knowledge, have to use many disconnected packages, and big data processing environments are not designed to support spatial analyses.

ArcGIS GeoAnalytics Engine enables data scientists to solve these operational and expertise challenges, while allowing them to quickly deliver results to stakeholders. The product works in Spark environments typically used for big data analytics. These can include 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 the Amazon EMR big data platform and Esri’s ArcGIS GeoAnalytics Engine enables our customers, regardless of spatial expertise, to easily leverage the spatial features and tools of the ArcGIS GeoAnalytics Engine in the their big data analytics and models,” said Abhishek Ram, Global Public Sector Product Manager at Amazon Web Services.

Esri, the global market leader in geographic information systems (GIS), location intelligence, and mapping software, helps customers unlock the full potential of data and improve operational and business results. Founded in 1969 in Redlands, California, USA, Esri designs software that is deployed in more than 350,000 organizations worldwide and more than 200,000 institutions in the Americas, Asia-Pacific, Europe, in Africa and the Middle East, including Fortune 500 companies, government agencies, non-profit organizations and universities.

Esri relies on regional offices, international distributors and partners enabling it to provide local support 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.


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