Google BigQuery Geospatial: Analyze Location Data In Cloud

It’s revealing new geospatial analytics datasets and features from Earth Engine and Google Maps Platform today at Google Cloud Next 25

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Geospatial analytics is growing rapidly due to generative AI, hyper-localization, and powerful analytical tools

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With more than 10 million websites and apps, Google Maps Platform is a reliable geospatial tool that enhances the lives of more than 2 billion consumers

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In order to make better business and sustainability decisions, customers seek to gain more insights from the current, extensive geographical data

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Bid farewell to laborious data wrangling. Geospatial data may be accessed and analysed just like any other BigQuery dataset

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The greatest features of Earth Engine’s geospatial raster data analytics are brought straight into BigQuery with Earth Engine in BigQuery

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A new BigQuery geography function called ST_REGIONSTATS() uses Earth Engine to effectively read and examine geospatial raster data inside a specified geographic area

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