Gemini in BigQuery の一部の機能は追加料金なしで利用できますが、他の機能にはコンピューティング容量の使用で獲得される割り当てが必要です。Gemini in BigQuery 機能の使用の詳細については、Gemini in BigQuery の料金をご覧ください。
必要な API を有効にしてロールを付与する
Gemini in BigQuery を使用するには、必要な API を有効にして、必要な Identity and Access Management（IAM）ロールを付与する必要があります。通常、この手順は、serviceusage.services.enable IAM 権限を持つサービス管理者またはプロジェクト オーナーが行います。 BigQuery で使用される API とサービスのリストについては、BigQuery API の依存関係を管理するをご覧ください。
Google Cloud コンソールで、プロジェクトを選択した状態で、[BigQuery Studio] ページに移動します。
データ アナリスト、データ サイエンティスト、またはデベロッパーが Gemini in BigQuery の特定の機能を使用して SQL クエリと Python コードを記述する場合は、 Google Cloud コンソールでその機能を有効にする必要があります。機能を有効にする方法については、「Gemini アシスタンスを使用してクエリを作成する」の始める前にをご覧ください。必要な IAM ロールまたは権限を持つユーザーは、 Google Cloud プロジェクトで有効になっている Gemini in BigQuery の機能にアクセスできます。詳細については、Gemini for Google Cloud の概要をご覧ください。
データ分析情報とメタデータの自動生成機能を使用する
BigQuery データ インサイトとメタデータの自動生成機能は、BigQuery オンデマンド コンピューティング、Enterprise エディション、Enterprise Plus エディションを使用しているお客様が利用できます。データ分析情報のスキャンとメタデータの生成の割り当ては、組織レベルでこれらのコンピューティング モデルが使用される頻度に基づいています。これらの機能の割り当てについては、Gemini in BigQuery の割り当てをご覧ください。
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-09-08 UTC。"],[[["\u003cp\u003eTo use Gemini in BigQuery, you must purchase either the Enterprise Plus edition or Gemini Code Assist Enterprise edition.\u003c/p\u003e\n"],["\u003cp\u003eEnabling Gemini in BigQuery requires enabling the Gemini for Google Cloud API and, optionally, the Recommender API for certain features.\u003c/p\u003e\n"],["\u003cp\u003eGranting users access to Gemini in BigQuery involves assigning them the Gemini for Google Cloud User IAM role, along with other feature-specific roles if needed.\u003c/p\u003e\n"],["\u003cp\u003eCertain preview features, like SQL query completion and Apache Spark assisted troubleshooting, require signing up through the Gemini in BigQuery Pre-GA Sign-up form.\u003c/p\u003e\n"],["\u003cp\u003eData analysts, scientists, or developers need to turn on Gemini in BigQuery features in the Google Cloud console to utilize AI-assisted SQL query and Python code writing.\u003c/p\u003e\n"]]],[],null,["# Set up Gemini in BigQuery\n\nBefore you can use\n[Gemini in BigQuery](/gemini/docs/bigquery/overview), which\noffers AI-powered assistance for your data analytics, your team must do\nthe following:\n\n1. [Enable necessary APIs and grant roles.](#enable-api)\n2. [Turn on Gemini in BigQuery features in\n the Google Cloud console.](#use)\n\nSome Gemini in BigQuery features are available at no\nadditional charge while other features require [quota](/gemini/docs/quotas#bigquery)\nwhich is earned by using compute capacity. To learn more about using\nGemini in BigQuery features, see [Gemini\nin BigQuery pricing](/gemini/pricing#gemini-in-bigquery-pricing).\n| **Note** : Gemini in BigQuery is part of Gemini for Google Cloud and doesn't support the same compliance and security offerings as BigQuery. You should only set up Gemini in BigQuery for BigQuery projects that don't require [compliance offerings that aren't supported by Gemini for Google Cloud](/gemini/docs/discover/certifications). For information about how to turn off or prevent access to Gemini in BigQuery, see [Turn off Gemini for Google Cloud products](/gemini/docs/turn-off-gemini).\n\nEnable necessary APIs and grant roles\n-------------------------------------\n\nTo use Gemini in BigQuery,\nyou must enable required APIs and grant necessary Identity and Access Management (IAM)\nroles. A service administrator or project\nowner with the [`serviceusage.services.enable` IAM permission](/service-usage/docs/access-control#predefined_roles)\ntypically performs this step. For a list of APIs and services used by\nBigQuery, see [Manage BigQuery API dependencies](/bigquery/docs/service-dependencies).\n\n1. In the the Google Cloud console, with your project selected, go to the\n **BigQuery Studio** page.\n\n [Go to BigQuery Studio](https://console.cloud.google.com/bigquery)\n2. View a Gemini in BigQuery feature in the\n the Google Cloud console. For example, in BigQuery Studio hover\n over the\n pen_sparkarrow_drop_down**Gemini**\n icon.\n\n You are prompted to enable additional Google Cloud APIs.\n3. Click **Continue** to get started enabling required\n Google Cloud APIs. A side panel lists the required APIs\n required to use Gemini in BigQuery.\n\n4. For each required API, click **Enable** to enable the API for the current\n project, and then click **Next**.\n\n5. To grant principals the IAM roles that are required to use\n Gemini in BigQuery, enter their user names.\n The following roles grant the permissions required to use Gemini:\n\n - [BigQuery Studio User](/bigquery/docs/access-control#bigquery.studioUser)\n - [BigQuery Studio Admin](/bigquery/docs/access-control#bigquery.studioAdmin)\n6. Click **Done**.\n\nTurn on Gemini in BigQuery features\n-----------------------------------\n\nIf you're a data analyst, data scientist, or developer who wants to use\nspecific Gemini in BigQuery features to write\nSQL queries and Python code, then you need to turn on the feature in\nthe Google Cloud console. To learn how to turn on features, see\n[Before you begin](/bigquery/docs/write-sql-gemini#before_you_begin) in\n\"Write queries with Gemini assistance.\"\nUsers who have the necessary IAM roles or permissions can then access\nthe Gemini in BigQuery features that you enabled\nfor their Google Cloud project. For more information, see\n[Gemini for Google Cloud overview](/gemini/docs/overview).\n\n### Use data insights and automated metadata generation features\n\nBigQuery data insights and automated metadata generation features\nare available to customers using BigQuery on-demand compute,\nEnterprise edition, or Enterprise Plus edition. The quota for\ndata insights scans and metadata generation is based on the use of these\ncompute models at the\norganization level. For information about quotas for these features, see\n[Quotas for Gemini in BigQuery](/gemini/docs/quotas#bigquery).\n\nIf your organization is using BigQuery Standard edition\nfor compute only, then you can use Gemini Code Assist Standard, which\nincludes data insights and automated metadata generation capabilities in\naddition to features listed in [Gemini Code Assist Standard and\nEnterprise pricing\noverview](/products/gemini/pricing#gemini_code_assist_standard_and_enterprise_pricing_overview).\nTo learn how to purchase Gemini Code Assist Standard, see [Purchase a\nGemini Code Assist Standard\nsubscription](/gemini/docs/discover/set-up-gemini#purchase-subscription) and\nfollow the instructions to purchase Standard edition.\n\n### Enable Gemini in BigQuery preview features\n\nCertain Gemini in BigQuery features in\n[Preview](/products#product-launch-stages)\nare part of the trusted tester program. To request access to these features,\nan administrator must complete the\n[Gemini in BigQuery Pre-GA Sign-up form](https://goo.gle/gemini-in-bq-preview).\nGemini in BigQuery pre-GA feature access is\nenabled periodically in batches.\n\nPreview features that require Gemini in BigQuery\nsign-up include the following:\n\n- SQL query completion (Preview)\n- Automated metadata generation for data insights (Preview)\n- Natural language expressions in SQL (Experimental)\n- Dataset insights with BigQuery knowledge engine (Preview)\n\nWhat's next\n-----------\n\n- Learn more about the [types of generative AI assistance available in Gemini for Google Cloud](/gemini/docs/overview).\n- Learn [how Gemini for Google Cloud uses your data](/gemini/docs/discover/data-governance).\n- Learn [how to access and manage Gemini administrator controls](/gemini/docs/admin)."]]
