데이터 추출을 통해 데이터의 하위 집합을 탐색할 수 있습니다. 이렇게 하면 보고서와 탐색 분석이 더 빠르게 로드되고 데이터에 실시간으로 연결하여 작업할 때보다 필터와 기간을 적용할 때 반응 속도가 빨라집니다.
데이터 추출 작동 방식
데이터를 추출할 때 모든 유형의 기존 데이터 소스를 선택한 다음 추출된 데이터 소스에 포함할 특정 필드를 선택합니다. 필터와 기간을 적용하여 데이터 양을 더 줄일 수 있습니다. 그런 다음 표준 실시간 연결 데이터 소스와 마찬가지로 보고서 및 탐색 분석에서 추출된 데이터 소스를 사용할 수 있습니다.
추출된 데이터 및 집계
이미 집계된 데이터 세트(예: Google Ads 또는 애널리틱스)에서 데이터를 추출하면 새로운 비합산 데이터 세트가 생성됩니다. 이렇게 하면 추출된 데이터 소스에서 표준 데이터보다 유연하게 자체 집계를 수행할 수 있습니다. 예를 들어 표준 애널리틱스 데이터 소스에서 사용자 측정항목은 자동 집계로 설정되므로 변경할 수 없습니다. 추출된 애널리틱스 데이터 소스에서는 사용 가능한 집계 유형을 마음대로 적용할 수 있습니다. 이렇게 하면 표준 (이미 집계된) 데이터 소스를 사용하는 보고서와는 다른 방식으로 데이터를 해석할 수 있습니다.
[[["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: 2025-09-04(UTC)"],[],[],null,["# Extract data for faster performance\n\nData extract lets you explore a subset of your data. This can make your reports and explorations load faster and be more responsive when applying filters and date ranges than when working with a live connection to your data.\n\nHow extracting data works\n-------------------------\n\nWhen you extract data, you select an existing data source of any type, then select the specific fields you want to include in the *extracted data source*. You can apply filters and date ranges to reduce the amount of data even further. You can then use the extracted data source in your reports and explorations, just as you would a standard, live connection data source.\n\n### Extracted data and aggregation\n\nExtracting data from an already aggregated dataset, such as Google Ads or Analytics, creates a new, disaggregated dataset. This makes performing your own aggregation in extracted data sources more flexible than standard data sources. For example, in a standard Analytics data source, the *Users* metric is set to Auto aggregation, meaning you can't change it. In an extracted Analytics data source, you are free to apply any of the available aggregation types. This can help you explore different interpretations of your data than is possible in reports using a standard (already aggregated) data source.\n\nCreate an extracted data source\n-------------------------------\n\n1. [Sign in to Looker Studio.](https://lookerstudio.google.com)\n2. On the Looker Studio home page, in the top left, click **Create** , and then select **Data Source**.\n3. In the connectors list, select **Extract Data.**\n4. Select an existing data source to extract from.\n5. Select the dimensions and metrics to extract by dragging them from the Available Fields list onto the targets, or by clicking **Add**. All the fields you add appear in the list on the far right.\n6. (Optional) If the data is unaggregated, consider applying an aggregation, such as `Sum`, or `Average`, to reduce the amount of data extracted.\n7. (Optional) Apply filters to the data in order to reduce the number of rows.\n8. Apply a date range. Date ranges are required by some connectors, such as Analytics, but are optional for other connector types.\n9. Give your data source a name by clicking **Untitled Data Source** in the upper left.\n10. (Optional) To automatically refresh your data, in the lower right, turn on **Auto update** and set an update schedule.\n11. In the lower right, click **SAVE AND EXTRACT**.\n\nYou can now add this data source to a report or exploration by clicking one of the buttons in the upper right.\n\nUpdate extracted data\n---------------------\n\nTo update the information contained in a data extract, turn on \"Auto update\" or edit the data source connection and extract the data again:\n\n1. [Sign in to Looker Studio.](https://lookerstudio.google.com)\n\n2. Navigate to the [DATA SOURCES Home](https://lookerstudio.google.com/navigation/datasources) page.\n\n3. Locate the extracted data source.\n\n4. Click the data source to edit it.\n\n5. In the upper left, click **EDIT CONNECTION**. You must be the data source owner to see this option.\n\n6. (Optional) To automatically refresh your data, in the lower right, turn on **Auto update** and set an update schedule.\n\n7. In the lower right, click **SAVE AND EXTRACT**.\n\nDelete your extracted data\n--------------------------\n\nDeleting an extracted data source also deletes its data from Google servers.\n\nLimits of data extract\n----------------------\n\n- Extracted data sources can contain up to 100 MB of data. If your extract contains more than 100 MB of data, Looker Studio will fail to extract and will display an error message.\n- Extracted data sources contain static information: to refresh or update the data, turn on Auto update and set an update schedule."]]
만들기를 클릭한 다음 데이터 소스를 선택합니다.