이 페이지에서는 Looker를 간략히 설명하고 Cloud SQL과 함께 사용할 경우의 이점을 설명합니다. 지금 Cloud SQL에서 Looker를 사용하려면 Looker를 Cloud SQL에 연결하는 방법 안내를 참조하세요.
Looker는 비즈니스 인텔리전스, 데이터 애플리케이션, 임베디드 분석을 위한 기업용 플랫폼입니다. Looker는 회사 데이터를 탐색, 공유, 시각화하여 더 나은 비즈니스 의사결정을 내릴 수 있도록 도와줍니다.
Looker 작동 방식
Looker를 사용하면 각 조직의 데이터 전문가가 LookML이라는 간단한 모델링 언어를 사용하여 데이터를 설명할 수 있습니다. LookML은 조직의 모든 사용자가 쉽게 읽을 수 있는 보고서와 대시보드를 만들어 데이터 패턴을 탐색할 수 있도록 데이터를 쿼리하는 방법을 알려줍니다. Looker는 커스텀 데이터 애플리케이션과 환경을 만들 수 있는 추가 기능을 제공합니다.
Looker 플랫폼은 트랜잭션 데이터베이스 및 분석 Datastore와 호환됩니다. Looker를 사용하면 모든 데이터 외에도 빠르고 정확한 일관된 데이터 모델을 만들 수 있습니다. 조직의 모든 데이터에 액세스할 수 있는 통합 영역도 제공합니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-08-13(UTC)"],[],[],null,["# Use Looker with Cloud SQL\n\n\u003cbr /\u003e\n\n[MySQL](/sql/docs/mysql/looker \"View this page for the MySQL database engine\") \\| PostgreSQL \\| [SQL Server](/sql/docs/sqlserver/looker \"View this page for the SQL Server database engine\")\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\nThis page gives a short overview of Looker and describes the benefits\nof using it with Cloud SQL. To use Looker with Cloud SQL\nnow, see the [instructions for connecting Looker to Cloud SQL](https://docs.looker.com/setup-and-management/database-config/google-cloud-sql).\n\nLooker is an enterprise platform for business intelligence, data\napplications, and embedded analytics. Looker helps you explore, share,\nand visualize your company's data so that you can make better business\ndecisions.\n\nHow Looker works\n----------------\n\nLooker lets data experts at each organization describe their data using\na lightweight modeling language called LookML. LookML tells Looker how\nto query data, so everyone in the organization can create easy-to-read reports\nand dashboards to explore patterns of data. Looker offers additional\nfeatures for creating custom data applications and experiences.\n\nLooker's platform works with transactional databases and analytical\ndatastores. Looker lets you create consistent data models on top of\nall your data with speed and accuracy. It also offers a unified surface to\naccess all of an organization's data.\n\nRestrictions\n------------\n\nCloud SQL doesn't support the following [Looker features](https://docs.looker.com/setup-and-management/database-config/google-cloud-sql#feature_support):\n\n- Persistent Native Derived Tables\n- Stable views\n- Case sensitive\n- Oauth credentials\n- Connection pooling\n- HLL sketches\n- Incremental PDTS\n- Materialized views\n- Approximate count distinct\n\nGoogle Cloud SQL doesn't support `CREATE TABLE AS SELECT` statements, so\nyou must use the [`create_process`](https://docs.looker.com/reference/view-params/create_process) LookML parameter to define Persistent Native Derived\nTables (PDTs).\n\nLooker integration with Cloud SQL\n---------------------------------\n\nLooker supports hosting in Google Cloud. Because Looker is\nplatform independent, it connects to data in Cloud SQL and other public\nclouds.\n\nIf you already have a Looker instance running, see the [instructions for connecting Looker to Cloud SQL](https://help.looker.com/hc/en-us/articles/4420182816531-Google-Cloud-SQL).\n\nWhat's next\n-----------\n\nThere are many options related to administering Looker, customizing its\ndata model, and exposing data to users. For more information, see the following\nresources:\n\n- [Looker Documentation](https://docs.looker.com/)\n- [Looker Help Center](https://help.looker.com/)\n- [Looker Training](https://training.looker.com/)"]]
