[[["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: 2025-07-31(UTC)"],[],[],null,["# Accelerate BigQuery data with BI Engine\n\nBigQuery BI Engine is a fast, in-memory analysis service. By using BigQuery BI Engine with Looker Studio, you can significantly improve your report performance while reducing compute costs.\n\n[Learn more about BigQuery BI Engine](https://cloud.google.com/bigquery/docs/bi-engine-intro).\n\nRequirements to use BigQuery BI Engine with Looker Studio\n---------------------------------------------------------\n\nTo accelerate your Looker Studio reports with BI Engine, you'll need the following:\n\n- Some data stored in BigQuery that you wish to visualize.\n- A BigQuery billing project, with billing enabled.\n- The BigQuery API is enabled.\n- A BI Engine reservation.\n\n[Learn more about analyzing BigQuery data with Looker Studio](https://cloud.google.com/bigquery/docs/visualize-looker-studio)."]]
