Exporting data to CSV from Looker can streamline your data analysis and reporting processes. This guide will walk you through the steps to efficiently export your data.
We'll cover various export methods and address common issues encountered during the process. Additionally, you'll learn how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.
A Looker admin must grant you either the download_without_limit or download_with_limit permission to download content as CSV. Without these permissions, exporting data will not be possible.
You can export data from a Look or Explore in multiple formats, including CSV. To do this, select the gear menu in the upper right corner of the Look or Explore page and then select Download. In the Download window, choose CSV from the Format drop-down menu. You may include the current result table, all results, or set a custom number of rows for your CSV export.
Looker allows you to download data from dashboards, legacy dashboards, and merged results queries as CSV files. Select CSV from the Format drop-down menu to download a dashboard as a collection of CSV files. The CSV files will be zipped and encoded in UTF-8. Use 7-Zip to extract the files to avoid garbled characters.
To export merged results queries, download the entire dashboard as CSV. Looker includes data from merged results tiles in the zipped CSV files. You can also download specific dashboard tiles in CSV format.
Looker does not allow unlimited CSV downloads for queries involving row totals, table calculations, percent of total, percent of previous, or running totals measures. Additionally, CSV downloads are restricted for queries from databases that cannot stream results or those with pivoted columns if the database cannot stream the pivots.
When downloading data in CSV format, you can set custom row limits. By default, the number of rows is limited to 5,000, but this can be increased to 100,000 with the appropriate permissions.
Looker automatically appends the corresponding file extension for the CSV filename. Ensure proper file management and naming conventions for ease of access and identification.
Looker instance data can be exported to a Cloud Storage bucket. Use the Google Cloud console or the gcloud command line tool to execute exports. It is necessary to create a Looker service account with the required permissions and roles, including Storage Object Creator and Cloud KMS CryptoKey Encrypter, to perform these exports.
Enhancing Real-Time Business Intelligence |
Looker offers real-time analytics capabilities, enabling businesses to monitor and react to data as it happens. By integrating Looker with platforms like BigQuery and Vertex AI, organizations can streamline their data workflows and generate timely insights to foster agile decision-making. |
Optimizing Marketing Performance |
Major organizations, including MLB, utilize Looker to analyze their marketing performance. Through integrations with Google Ad Manager and Google Campaign Manager, Looker helps businesses track and optimize their marketing strategies, leading to better ROI and improved fan engagement. |
Improving Customer Understanding |
Looker helps businesses enhance their understanding of customers by analyzing governed data and delivering actionable insights. For example, MLB uses Looker to tailor fan experiences and make data-driven decisions that improve overall customer satisfaction. |
Scalable Data Visualization Solutions |
Looker is designed to grow with organizations, offering scalable solutions for creating data visualizations. By leveraging Looker's wide array of visualization types, including cartesian charts, pie charts, maps, and text-based tables, businesses can effectively present their data to stakeholders. |
Customizing Data Experiences |
Looker's flexible semantic layer and composable BI capabilities allow for the creation of customized data experiences. Companies can build tailored analytics applications that meet specific business needs, fostering better insights and driving informed decisions. |
Embedded Analytics for Seamless Integration |
Looker enables businesses to integrate analytics directly into their existing applications through embedded analytics. This feature ensures that users can access important data insights without leaving their primary workflows, thereby enhancing productivity and efficiency. |
Accelerating Decision-Making Processes |
Organizations can leverage Looker to create more efficient decision-making processes. For instance, MLB reports utilizing Looker for faster data reporting compared to its legacy BI platforms, resulting in quicker, data-driven decisions. |
Sourcetable is a versatile spreadsheet tool that integrates data from various sources, offering a centralized platform for data analysis. Unlike Looker, Sourcetable empowers users with a familiar spreadsheet-like interface to query and manipulate data in real-time.
With Sourcetable, you streamline data collection and real-time querying, enhancing productivity and decision-making. Its intuitive interface provides an accessible yet powerful environment for managing complex datasets without extensive training.
Choose Sourcetable for a seamless, spreadsheet-based solution that simplifies data interaction and provides real-time insights. Optimize your data workflow efficiently with an interface designed for ease and precision.
To manually download data from Looker to a CSV file, click the gear menu icon in the upper right of a Look or Explore, select 'Download', then choose 'CSV' from the Format field in the Download window.
Yes, you can automate the export of Looker data to a spreadsheet using Coefficient, which syncs Looker data to Google Sheets and automatically updates the data.
Yes, you can download an entire dashboard as a collection of CSV files by selecting 'Download' from the gear menu, choosing 'CSV' from the Format drop-down menu. The query tiles will be included in a zipped file generated with UTF-8 encoding.
Looker can export data to several formats including CSV, TXT, JSON, Markdown, HTML, Excel, and PNG.
To use Looker actions to send CSVs directly to Google Sheets, you need to enable Looker actions through the admin settings, which can then send CSVs using OAuth, schedule CSV exports, and customize the format and limit for the exports.
Exporting data from Looker to a CSV file is straightforward and efficient. The process ensures that you retain data integrity while enabling easy transfers and analysis.
By following the steps outlined, you can quickly convert and utilize your Looker data in CSV format.
Sign up for Sourcetable to analyze your exported CSV data with AI in a simple to use spreadsheet.