Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Mengaktifkan sandbox BigQuery
Dengan sandbox BigQuery, Anda dapat mempelajari kemampuan BigQuery yang terbatas
tanpa biaya untuk memastikan apakah BigQuery sesuai dengan kebutuhan Anda. Dengan
sandbox BigQuery, Anda dapat menggunakan BigQuery tanpa
harus memberikan kartu kredit atau membuat akun penagihan untuk project Anda. Jika sudah
membuat akun penagihan, Anda masih dapat menggunakan BigQuery
tanpa biaya dalam paket penggunaan gratis.
Anda juga dapat membuka BigQuery di Google Cloud konsol
dengan memasukkan URL berikut di browser:
https://console.cloud.google.com/bigquery
Konsol Google Cloud adalah antarmuka grafis yang Anda gunakan untuk membuat
dan mengelola resource BigQuery serta menjalankan kueri SQL.
Autentikasi dengan Akun Google Anda, atau buat akun baru.
Di halaman sambutan, lakukan hal berikut:
Untuk Negara, pilih negara Anda.
Untuk Persyaratan Layanan, centang kotak centang jika Anda menyetujui persyaratan
layanan.
Opsional: Jika Anda ditanyai tentang info terbaru melalui email, pilih kotak centang jika
Anda ingin menerima info terbaru via email.
Klik Setuju dan lanjutkan.
Klik Buat proyek.
Di halaman Project Baru, lakukan hal berikut:
Untuk Nama project, masukkan nama project Anda.
Untuk Organisasi, pilih organisasi atau pilih
Tidak ada organisasi jika Anda bukan bagian dari organisasi. Akun terkelola, seperti akun yang terkait dengan institusi akademik, harus memilih organisasi.
Jika diminta memilih Lokasi, klik Jelajah, lalu pilih
lokasi untuk project Anda.
Klik Buat. Anda akan dialihkan kembali ke halaman BigQuery di konsol Google Cloud .
Anda telah berhasil mengaktifkan sandbox BigQuery. Pemberitahuan
sandbox BigQuery sekarang ditampilkan di halaman BigQuery:
Dengan sandbox BigQuery, Anda dapat mempelajari
kemampuan BigQuery yang terbatas
tanpa biaya. Jika Anda sudah siap untuk meningkatkan kemampuan penyimpanan
dan kueri, upgrade dari sandbox BigQuery.
Anda diberi batas penggunaan gratis yang sama seperti
paket gratis BigQuery, termasuk 10 GB penyimpanan aktif
dan 1 TB data kueri yang diproses setiap bulan.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-17 UTC."],[[["\u003cp\u003eThe BigQuery sandbox allows users to explore BigQuery's capabilities at no cost without needing a credit card or billing account.\u003c/p\u003e\n"],["\u003cp\u003eEnabling the sandbox involves navigating to the BigQuery page in the Google Cloud console, authenticating with a Google Account, and creating a new project.\u003c/p\u003e\n"],["\u003cp\u003eThe BigQuery sandbox has limitations, such as a 60-day expiration for all tables and views, and it does not support streaming data, DML statements, or BigQuery Data Transfer Service.\u003c/p\u003e\n"],["\u003cp\u003eUsers can upgrade from the sandbox to increase storage and query capabilities by enabling billing for their project and selecting a suitable BigQuery edition.\u003c/p\u003e\n"],["\u003cp\u003eAfter enabling the BigQuery sandbox, users are encouraged to try one of the three quickstarts provided, which will allow them to query a public dataset with the Google Cloud console, the bq command-line tool or the client libraries.\u003c/p\u003e\n"]]],[],null,["# Enable the BigQuery sandbox\n===========================\n\nThe BigQuery sandbox lets you explore limited BigQuery capabilities\nat no cost to confirm whether BigQuery fits your needs. The\nBigQuery sandbox lets you experience BigQuery without\nproviding a credit card or creating a billing account for your project. If you\nalready created a billing account, you can still use BigQuery at\nno cost in the free usage tier.\n\nStart using the BigQuery sandbox\n--------------------------------\n\n1. In the Google Cloud console, go to the **BigQuery** page.\n\n [Go to BigQuery](https://console.cloud.google.com/bigquery)\n\n You can also open BigQuery in the Google Cloud console\n by entering the following URL in your browser: \n\n ```\n https://console.cloud.google.com/bigquery\n ```\n\n The Google Cloud console is the graphical interface that you use to create\n and manage BigQuery resources and to run SQL queries.\n2. Authenticate with your Google Account, or create a new one.\n\n3. On the welcome page, do the following:\n\n 1. For **Country**, select your country.\n\n 2. For **Terms of Service**, select the checkbox if you agree to the terms\n of service.\n\n 3. Optional: If you are asked about email updates, select the checkbox if\n you want to receive email updates.\n\n 4. Click **Agree and continue**.\n\n4. Click **Create project**.\n\n5. On the **New Project** page, do the following:\n\n 1. For **Project name**, enter a name for your project.\n\n 2. For **Organization** , select an organization or select\n **No organization** if you are not part of one. Managed accounts, such\n as those associated with academic institutions, must select an\n organization.\n\n 3. If you are asked to select a **Location** , click **Browse** and select a\n location for your project.\n\n 4. Click **Create** . You are redirected back to the **BigQuery** page in\n the Google Cloud console.\n\nYou have successfully enabled the BigQuery sandbox. A\nBigQuery sandbox notice is now displayed on the **BigQuery** page:\n\nWith the BigQuery sandbox now enabled, we recommend that you try the\n[Query a public dataset with the Google Cloud console](/bigquery/docs/quickstarts/query-public-dataset-console)\nquickstart next. You can also try a similar\n[quickstart for the bq command-line tool](/bigquery/docs/quickstarts/query-public-dataset-bq),\nwhich is useful for many administrative tasks, or a similar\n[quickstart for the client libraries](/bigquery/docs/quickstarts/quickstart-client-libraries),\nwhich let you use BigQuery with programming languages like\nJava and Python.\n\nUpgrade from the BigQuery sandbox\n---------------------------------\n\nThe BigQuery sandbox lets you explore\n[limited BigQuery capabilities](#limitations)\nat no cost. When you are ready to increase your storage and query\ncapabilities, upgrade from the BigQuery sandbox.\n\nTo upgrade, do the following:\n\n1. [Enable billing](/billing/docs/how-to/modify-project#enable_billing_for_a_project)\n for your project.\n\n2. Explore [BigQuery editions](/bigquery/docs/editions-intro)\n and determine the pricing model that is right for you.\n\nOnce you have upgraded from the BigQuery sandbox, you should\n[update the default expiration times for your BigQuery resources](/bigquery/docs/updating-datasets#table-expiration)\nsuch as tables, views, and partitions.\n\nLimitations\n-----------\n\nThe BigQuery sandbox is subject to the following limits:\n\n- All BigQuery [quotas and limits](/bigquery/quotas) apply.\n- You are granted the same free usage limits as the BigQuery [free tier](/bigquery/pricing#free-tier), including 10 GB of active storage and 1 TB of processed query data each month.\n- All BigQuery [datasets](/bigquery/docs/datasets-intro) have a [default table expiration time](/bigquery/docs/updating-datasets#table-expiration), and all [tables](/bigquery/docs/tables-intro), [views](/bigquery/docs/views-intro), and [partitions](/bigquery/docs/partitioned-tables) automatically expire after 60 days.\n- The BigQuery sandbox does not support several BigQuery\n features, including the following:\n\n - [Streaming data](/bigquery/docs/write-api)\n - [Data manipulation language (DML) statements](/bigquery/docs/data-manipulation-language)\n - [BigQuery Data Transfer Service](/bigquery/docs/dts-introduction)\n\nWhat's next\n-----------\n\n- Learn to [query a public dataset with the Google Cloud console](/bigquery/docs/quickstarts/query-public-dataset-console).\n- Learn to [query a public dataset with the bq tool](/bigquery/docs/quickstarts/query-public-dataset-bq).\n- Learn to [query a public dataset with the client libraries](/bigquery/docs/quickstarts/quickstart-client-libraries).\n- For more information about using BigQuery at no cost in the free usage tier, see [Free usage tier](/bigquery/pricing#free-tier).\n- Get [updates about BigQuery releases](/bigquery/docs/release-notes).\n\n\u003c!-- --\u003e\n\n- If you are a Firebase user, see [Link BigQuery to Firebase](https://support.google.com/firebase/answer/6318765)."]]
