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Nella release di anteprima, Approfondimenti di Places fornisce dati specifici per città nelle data clean room di BigQuery per i paesi di destinazione. Le data clean room forniscono un ambiente con maggiore sicurezza
in cui più parti possono condividere, unire e analizzare i propri asset di dati senza
spostare o rivelare i dati sottostanti.
Prima di poter scrivere query SQL sui dati in una data clean room, devi
prima registrarti
per accedere al prodotto Places Insights. Una volta eseguito l'onboarding dell'account, potrai iscriverti alla data clean room per il tuo paese di destinazione.
Prerequisiti
Per accedere ai dati di Places Insights in una data clean room, devi:
Registrati
per provare Places Insights.
Avere un account Google Cloud.
Se non hai un account, fai clic sul pulsante Inizia che rimanda a
un'esperienza di configurazione interattiva nella console Cloud per i nuovi
utenti:
Inizia
Abilita l'API BigQuery. Per istruzioni sull'attivazione di BigQuery e per un tutorial sull'utilizzo di BigQuery, consulta Eseguire query su un set di dati pubblico con la console Google Cloud.
Attiva l'API Analytics Hub.
Assicurati che il tuo account disponga dei ruoli Abbonato ad Analytics Hub
(roles/analyticshub.subscriber) e Proprietario dell'abbonamento ad Analytics Hub
(roles/analyticshub.subscriptionOwner) per eseguire le attività dell'abbonato
nelle data clean room.
Assicurati che il tuo account disponga del ruolo Utente BigQuery
(roles/bigquery.user) per creare set di dati.
Per maggiori informazioni, consulta la sezione Permessi aggiuntivi per gli abbonati.
Iscriviti a una data clean room
I dati di Places Insights sono disponibili per le città e i paesi elencati nella
tabella seguente. Ogni città e paese ha la propria data
clean room a cui devi abbonarti singolarmente.
Per iscriverti a una data clean room:
Seleziona il link di iscrizione per la città di interesse dalla tabella
di seguito.
Nella console Google Cloud si apre una finestra di dialogo per il paese. Ad esempio,
per la clean room di New York City, Stati Uniti (US):
Seleziona il pulsante Iscriviti nella finestra di dialogo.
Al termine, l'abbonamento alla tabella viene visualizzato nel riquadro Explorer di BigQuery nella console Google Cloud. Nelle query SQL, utilizza il nome della tabella
mostrato di seguito per accedere ai dati.
Data clean room disponibili
La tabella seguente elenca le città e i paesi supportati:
| Città e paese |
Link di iscrizione |
Nomi delle tabelle |
|---|
| Sydney, Australia | Australia |
places_insights___au___sample.places_sample
|
| San Paolo, Brasile | BR |
places_insights___br___sample.places_sample
|
| Toronto, Canada | CA |
places_insights___ca___sample.places_sample
|
| Parigi, Francia | FR |
places_insights___fr___sample.places_sample
|
| Berlino, Germania | DE |
places_insights___de___sample.places_sample
|
| Londra, Gran Bretagna | GB |
places_insights___gb___sample.places_sample
|
| Mumbai, India | IN |
places_insights___in___sample.places_sample
|
| Giacarta, Indonesia | ID |
places_insights___id___sample.places_sample
|
| Roma, Italia | IT |
places_insights___it___sample.places_sample
|
| Tokyo, Giappone | JP |
places_insights___jp___sample.places_sample
|
| Città del Messico, Messico | MX |
places_insights___mx___sample.places_sample
|
| Madrid, Spagna | ES |
places_insights___es___sample.places_sample
|
| Zurigo, Svizzera | CH |
places_insights___ch___sample.places_sample
|
| New York, Stati Uniti | US |
places_insights___us___sample.places_sample
places_insights___us___sample.brands
|
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-22 UTC.
[null,null,["Ultimo aggiornamento 2025-07-22 UTC."],[],[],null,["In the Preview release, Places Insights provides city-specific data in BigQuery\n[data clean rooms](https://cloud.google.com/bigquery/docs/data-clean-rooms) for\nthe target countries. Data clean rooms provide a security-enhanced environment\nin which multiple parties can share, join, and analyze their data assets without\nmoving or revealing the underlying data.\n\nBefore you can write SQL queries against the data in a clean room, you must\nfirst [sign up](https://docs.google.com/forms/d/e/1FAIpQLSetyVSIJc2U4C8rn7Z2olWhK9MEbD_YPadqHuPO3SE-yL21yg/viewform)\nto get access to the Places Insights product. Once your account\nhas been onboarded, you will be able to **subscribe** to the clean room for your\ntarget country.\n\nPrerequisites\n\nTo access the Places Insights data in a clean room, you must:\n\n1. [Sign up](https://docs.google.com/forms/d/e/1FAIpQLSetyVSIJc2U4C8rn7Z2olWhK9MEbD_YPadqHuPO3SE-yL21yg/viewform)\n to test Places Insights.\n\n2. Have a [Google Cloud](https://cloud.google.com/) account.\n\n If you don't have an account, click the **Get Started** button that links to\n an interactive setup experience in the Cloud console for new\n users:\n\n [Get Started](https://console.cloud.google.com/google/maps-apis/start?utm_source=Docs_GS_Button&ref=https://developers.google.com/maps/&utm_content=Docs_Central)\n3. Enable the BigQuery API. For instructions on enabling BigQuery and for a\n tutorial on using BigQuery, see [Query a public dataset with the Google Cloud console](https://cloud.google.com/bigquery/docs/quickstarts/query-public-dataset-console).\n\n4. Enable the [Analytics Hub API](https://console.cloud.google.com/apis/api/analyticshub.googleapis.com/metrics).\n\n5. Ensure that your account has the [Analytics Hub Subscriber](https://cloud.google.com/bigquery/docs/analytics-hub-grant-roles#ah-subscriber-role)\n (`roles/analyticshub.subscriber`) and [Analytics Hub Subscription\n Owner](https://cloud.google.com/bigquery/docs/analytics-hub-grant-roles#ah-subscription-owner-role)\n (`roles/analyticshub.subscriptionOwner`) roles to perform subscriber tasks\n on the data clean rooms.\n\n6. Ensure that your account has the [BigQuery User](https://cloud.google.com/bigquery/docs/access-control#bigquery.user)\n (`roles/bigquery.user`) role to create datasets.\n\n For more information, see [Additional subscriber\n permissions](https://cloud.google.com/bigquery/docs/data-clean-rooms#additional_subscriber_permissions).\n\nSubscribe to a data clean room\n\nPlaces Insights data is available for the cities and countries listed in the\n[table below](#available-clean-rooms). Each city and country has its own data\nclean room that you must subscribe to individually.\n\nTo subscribe to a clean room:\n\n1. Select the subscribe link for the city of interest from the [table\n below](#available-clean-rooms).\n\n2. A dialog opens for that country in the Google Cloud console. For example\n for the New York City, United States (US) clean room:\n\n3. Select the **Subscribe** button in the dialog.\n\n4. When complete, the table subscription appears in the BigQuery **Explorer**\n panel in the Google Cloud console. In your SQL queries, use the table name\n shown below to access the data.\n\nAvailable clean rooms\n\nThe following table lists the supported cities and countries:\n\n| City, Country | Subscribe link | Table names |\n|------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------|\n| Sydney, Australia | [AU](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_AU_sample) | `places_insights___au___sample.places_sample` |\n| Sao Paulo, Brazil | [BR](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_BR_sample) | `places_insights___br___sample.places_sample` |\n| Toronto, Canada | [CA](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_CA_sample) | `places_insights___ca___sample.places_sample` |\n| Paris, France | [FR](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_FR_sample) | `places_insights___fr___sample.places_sample` |\n| Berlin, Germany | [DE](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_DE_sample) | `places_insights___de___sample.places_sample` |\n| London, Great Britian | [GB](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_GB_sample) | `places_insights___gb___sample.places_sample` |\n| Mumbai, India | [IN](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_IN_sample) | `places_insights___in___sample.places_sample` |\n| Jakarta, Indonesia | [ID](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_ID_sample) | `places_insights___id___sample.places_sample` |\n| Rome, Italy | [IT](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_IT_sample) | `places_insights___it___sample.places_sample` |\n| Tokyo, Japan | [JP](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_JP_sample) | `places_insights___jp___sample.places_sample` |\n| Mexico City, Mexico | [MX](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_MX_sample) | `places_insights___mx___sample.places_sample` |\n| Madrid, Spain | [ES](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_ES_sample) | `places_insights___es___sample.places_sample` |\n| Zurich, Switzerland | [CH](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_CH_sample) | `places_insights___ch___sample.places_sample` |\n| New York City, United States | [US](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_US_sample) | `places_insights___us___sample.places_sample` `places_insights___us___sample.brands` |"]]
