CARTO Case Studies Enhancing Geospatial Analysis with CARTO and Google BigQuery

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	Enhancing Geospatial Analysis with CARTO and Google BigQuery CARTO

Enhancing Geospatial Analysis with CARTO and Google BigQuery

CARTO

Technology Category	Infrastructure as a Service (IaaS) - Public Cloud
Applicable Industries	Construction & Infrastructure
Challenge	Google's BigQuery was facing a challenge in the field of geospatial analysis. The traditional hardware and software used for geospatial analysis were limiting the potential of BigQuery. The constraints of the existing infrastructure were hindering the scalability and performance of geospatial analysis. Additionally, the process of integrating geospatial data was cumbersome and time-consuming. Users were often required to perform administrative tasks and reference tables, which were considered 'boring' but necessary. The challenge was to enhance the geospatial analysis capabilities of BigQuery and make the integration of geospatial data more efficient and user-friendly. Read More
About Customer	The customers of this solution are users of Google's BigQuery who require geospatial analysis capabilities. These users range from data scientists and analysts to businesses and organizations that rely on geospatial data for their operations. They require a robust and scalable infrastructure for geospatial analysis that can handle large volumes of data. They also need an efficient and user-friendly way to integrate geospatial data into their analysis. The solution provided by Google and CARTO caters to these needs, enhancing the capabilities of BigQuery and making geospatial analysis more accessible and efficient for its users. Read More
Solution	Google partnered with CARTO to solve the challenges faced by BigQuery in geospatial analysis. CARTO's expertise in spatial data infrastructures was leveraged to enhance the performance and scalability of BigQuery. The partnership also focused on improving the integration of geospatial data. Google and CARTO worked together to create a public data collect partnership, which included geospatial data built-in. This made the integration of geospatial data more efficient and user-friendly. Google also focused on improving the datasets that users interacted with the most. They doubled down on administrative boundaries, zip code polygons, and other datasets that were difficult to find or annoying to put together. The solution was designed to be 'ready to run', with all the necessary 'batteries included'. Read More Log in to view content
Contents

Technology Category

Infrastructure as a Service (IaaS) - Public Cloud

Applicable Industries

Construction & Infrastructure

Challenge

Google's BigQuery was facing a challenge in the field of geospatial analysis. The traditional hardware and software used for geospatial analysis were limiting the potential of BigQuery. The constraints of the existing infrastructure were hindering the scalability and performance of geospatial analysis. Additionally, the process of integrating geospatial data was cumbersome and time-consuming. Users were often required to perform administrative tasks and reference tables, which were considered 'boring' but necessary. The challenge was to enhance the geospatial analysis capabilities of BigQuery and make the integration of geospatial data more efficient and user-friendly.

About Customer

The customers of this solution are users of Google's BigQuery who require geospatial analysis capabilities. These users range from data scientists and analysts to businesses and organizations that rely on geospatial data for their operations. They require a robust and scalable infrastructure for geospatial analysis that can handle large volumes of data. They also need an efficient and user-friendly way to integrate geospatial data into their analysis. The solution provided by Google and CARTO caters to these needs, enhancing the capabilities of BigQuery and making geospatial analysis more accessible and efficient for its users.

Solution

Google partnered with CARTO to solve the challenges faced by BigQuery in geospatial analysis. CARTO's expertise in spatial data infrastructures was leveraged to enhance the performance and scalability of BigQuery. The partnership also focused on improving the integration of geospatial data. Google and CARTO worked together to create a public data collect partnership, which included geospatial data built-in. This made the integration of geospatial data more efficient and user-friendly. Google also focused on improving the datasets that users interacted with the most. They doubled down on administrative boundaries, zip code polygons, and other datasets that were difficult to find or annoying to put together. The solution was designed to be 'ready to run', with all the necessary 'batteries included'.

Impact #1	The partnership between Google and CARTO has resulted in significant operational improvements for BigQuery. The performance and scalability of geospatial analysis have been enhanced, allowing users to process larger volumes of data more efficiently. The integration of geospatial data has also been made more user-friendly, reducing the time and effort required for users to perform 'boring' administrative tasks. The solution has also made a wider range of datasets readily available for users, making it easier for them to find and use the data they need. Overall, the solution has improved the user experience of BigQuery and has the potential to change the way people access location data.

Impact #1

The partnership between Google and CARTO has resulted in significant operational improvements for BigQuery. The performance and scalability of geospatial analysis have been enhanced, allowing users to process larger volumes of data more efficiently. The integration of geospatial data has also been made more user-friendly, reducing the time and effort required for users to perform 'boring' administrative tasks. The solution has also made a wider range of datasets readily available for users, making it easier for them to find and use the data they need. Overall, the solution has improved the user experience of BigQuery and has the potential to change the way people access location data.

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Overview

Enhancing Geospatial Analysis with CARTO and Google BigQuery

Operational Impact