CARTO > Case Studies > Google and CARTO's Collaboration: Shaping the Future of GIS & Spatial Data Science

Google and CARTO's Collaboration: Shaping the Future of GIS & Spatial Data Science

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Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries
  • Cement
  • Construction & Infrastructure
Use Cases
  • Construction Management
  • Time Sensitive Networking
Services
  • Data Science Services
About The Customer
The customers in this case are users of spatial data analysis, which could range from public health organizations to hedge funds. These customers previously had to manage their own infrastructure, including determining the size of the computer, the CPU cycles needed, and the storage capacity required. They also had to find and prepare the datasets they needed for their analysis. This process was not only time-consuming but also required a significant amount of technical expertise. With the collaboration between Google and CARTO, these customers can now access prepared datasets and a robust data infrastructure without having to worry about storage costs.
The Challenge
Spatial data analysis is at a critical juncture. Over the past decade or so, customers have had to manage their own infrastructure, including the installation and maintenance of their GIS software. This could be on a laptop, desktop, or even a mainframe, but the responsibility of determining the size of the computer, the CPU cycles needed, and the storage capacity required fell on the customer. This process was not only time-consuming but also required a significant amount of technical expertise. Additionally, customers had to find and prepare the datasets they needed for their analysis, which could be a challenging and costly process.
The Solution
Google and CARTO have come together to bring BigQuery and GIS together, providing a robust data infrastructure for spatial analysis. CARTO adds value by preparing datasets that are commonly used in spatial analysis, saving customers the time and cost of finding and preparing these datasets themselves. Google is also covering the cost of storage, making the data readily available for customers to use in their analysis without any additional costs. This collaboration aims to make BigQuery more accessible to a wider range of users, including GIS professionals. By integrating with CARTO's data observatory, customers no longer have to load, process, and prepare their own data, making the system more user-friendly and efficient.
Operational Impact
  • The collaboration between Google and CARTO has resulted in a more user-friendly and efficient system for spatial data analysis. By integrating with CARTO's data observatory, customers no longer have to load, process, and prepare their own data. This not only saves time but also makes the system more accessible to a wider range of users, including those without a significant amount of technical expertise. Furthermore, by covering the cost of storage, Google has made the data readily available for customers to use in their analysis without any additional costs. This has made the process of spatial data analysis more streamlined and efficient, allowing customers to focus on their analysis rather than the technical aspects of managing their infrastructure.

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