science Produk atau fitur ini ada dalam Pratinjau (pra-GA). Produk dan fitur pra-GA mungkin memiliki dukungan terbatas, dan perubahan pada produk serta fitur pra-GA mungkin tidak kompatibel dengan versi pra-GA lainnya. Penawaran Pra-GA tercakup dalam
Persyaratan Khusus Layanan Google Maps Platform. Untuk mengetahui informasi selengkapnya, lihat
deskripsi tahap peluncuran.
Daftar untuk menguji Places Insights.
Menyiapkan Places Insights
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Dalam rilis Pratinjau, Places Insights menyediakan data spesifik per kota di ruang bersih data BigQuery untuk negara target. Ruang bersih data menyediakan lingkungan yang ditingkatkan keamanannya tempat beberapa pihak dapat berbagi, menggabungkan, dan menganalisis aset data mereka tanpa memindahkan atau mengungkapkan data yang mendasarinya.
Sebelum dapat menulis kueri SQL terhadap data di ruang bersih, Anda harus
mendaftar terlebih dahulu
untuk mendapatkan akses ke produk Places Insights. Setelah akun Anda diaktifkan, Anda dapat berlangganan ruang bersih untuk
negara target Anda.
Prasyarat
Untuk mengakses data Places Insights di ruang bersih, Anda harus:
Daftar
untuk menguji Insight Tempat.
Memiliki akun Google Cloud.
Jika Anda tidak memiliki akun, klik tombol Mulai yang tertaut ke proses penyiapan interaktif di konsol Cloud bagi pengguna baru:
Mulai
Aktifkan BigQuery API. Untuk mengetahui petunjuk tentang cara mengaktifkan BigQuery dan tutorial tentang cara menggunakan BigQuery, lihat Membuat kueri set data publik dengan konsol Google Cloud.
Aktifkan Analytics Hub API.
Pastikan akun Anda memiliki peran Pelanggan Analytics Hub
(roles/analyticshub.subscriber) dan Pemilik Langganan Analytics Hub
(roles/analyticshub.subscriptionOwner) untuk melakukan tugas pelanggan
di ruang bersih data.
Pastikan akun Anda memiliki peran BigQuery User (roles/bigquery.user) untuk membuat set data.
Untuk mengetahui informasi selengkapnya, lihat Izin pelanggan tambahan.
Berlangganan ruang bersih data
Data Insight Tempat tersedia untuk kota dan negara yang tercantum dalam
tabel di bawah. Setiap kota dan negara memiliki ruang pembersihan data sendiri yang harus Anda daftarkan secara terpisah.
Untuk berlangganan ruang bersih:
Pilih link langganan untuk kota yang diinginkan dari tabel di bawah.
Dialog akan terbuka untuk negara tersebut di Konsol Google Cloud. Misalnya, untuk ruang bersih New York City, Amerika Serikat (AS):
Pilih tombol Subscribe dalam dialog.
Setelah selesai, langganan tabel akan muncul di panel Explorer BigQuery di konsol Google Cloud. Dalam kueri SQL, gunakan nama tabel
yang ditampilkan di bawah untuk mengakses data.
Ruang bersih yang tersedia
Tabel berikut mencantumkan kota dan negara yang didukung:
| Kota, Negara |
Link berlangganan |
Nama tabel |
|---|
| Sydney, Australia | AU |
places_insights___au___sample.places_sample
|
| Sao Paulo, Brasil | BR |
places_insights___br___sample.places_sample
|
| Toronto, Kanada | CA |
places_insights___ca___sample.places_sample
|
| Paris, Prancis | FR |
places_insights___fr___sample.places_sample
|
| Berlin, Jerman | DE |
places_insights___de___sample.places_sample
|
| London, Britania Raya | GB |
places_insights___gb___sample.places_sample
|
| Mumbai, India | IN |
places_insights___in___sample.places_sample
|
| Jakarta, Indonesia | ID |
places_insights___id___sample.places_sample
|
| Roma, Italia | IT |
places_insights___it___sample.places_sample
|
| Tokyo, Jepang | JP |
places_insights___jp___sample.places_sample
|
| Mexico City, Meksiko | MX |
places_insights___mx___sample.places_sample
|
| Madrid, Spanyol | ES |
places_insights___es___sample.places_sample
|
| Zurich, Swiss | CH |
places_insights___ch___sample.places_sample
|
| New York City, Amerika Serikat | Amerika Serikat |
places_insights___us___sample.places_sample
places_insights___us___sample.brands
|
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-22 UTC.
[null,null,["Terakhir diperbarui pada 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` |"]]
