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

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

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

CARTO

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	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.

Impact #1

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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Overview

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

Operational Impact