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    Places USA Sample

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    Sold by: Precisely 
    Deployed on AWS
    Places is a comprehensive dataset that provides detailed listings of operational businesses worldwide.

    Overview

    Places is a comprehensive dataset that provides detailed listings of operational businesses worldwide. It is designed for accuracy and consistency, it includes key identifiers that enhance business location data, making it valuable across various sectors, including business intelligence, enterprise applications, and consumer analytics.

    Key identifiers in the dataset include: PlaceID: A unique identifier for each business location. ChainID and GlobalChainID: Indicate whether a venue is part of a domestic or global business chain. If a venue is not part of a chain or if the status is unknown, these fields remain null. PreciselyID: A persistent reference for an address, ensuring stability without storing the full address string. ParentPreciselyID: PreciselyID of the parent address record, if applicable. Identifies the parent building for secondary addresses.

    The dataset prioritizes stable business entity relationships over temporary connections, ensuring reliability even when business locations or addresses change. Additionally, it facilitates integration with other datasets, such as addresses, building polygons, and parcel property data, enhancing its value for spatial and business analytics. Product is available in a number of GIS and database loadable formats.

    This sample data set covers the San Francisco, CA area. This represents a subset of the full products geographic extent. The full commercial offering features geographic coverage of the entire United States.

    Contact aws.data.partnership@precisely.com  for more information on licensing the product.

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    Deployed on AWS
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    Places USA Sample

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

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    Data sets (1)

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    You will receive access to the following data sets.

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    Places USA Sample
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