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# Backport This will backport the following commits from `main` to `8.x`: - [SKA: Update broken references and URLs (#206836)](https://github.com/elastic/kibana/pull/206836) <!--- Backport version: 9.6.4 --> ### Questions ? Please refer to the [Backport tool documentation](https://github.com/sorenlouv/backport) <!--BACKPORT [{"author":{"name":"Gerard Soldevila","email":"gerard.soldevila@elastic.co"},"sourceCommit":{"committedDate":"2025-01-28T03:32:48Z","message":"SKA: Update broken references and URLs (#206836)\n\n## Summary\r\n\r\nUpdates a number of broken file references and broken links.\r\n\r\n---------\r\n\r\nCo-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>\r\nCo-authored-by: Alejandro Fernández Haro <afharo@gmail.com>","sha":"fb26c1c683453faa7f8218df094f90d9ad070a23","branchLabelMapping":{"^v9.0.0$":"main","^v8.18.0$":"8.x","^v(\\d+).(\\d+).\\d+$":"$1.$2"}},"sourcePullRequest":{"labels":["Team:Core","Feature:ExpressionLanguage","release_note:skip","Team:Fleet","v9.0.0","backport:prev-minor","ci:project-deploy-observability","Team:obs-ux-infra_services","Team:obs-ux-management"],"title":"SKA: Update broken references and URLs","number":206836,"url":"https://github.com/elastic/kibana/pull/206836","mergeCommit":{"message":"SKA: Update broken references and URLs (#206836)\n\n## Summary\r\n\r\nUpdates a number of broken file references and broken links.\r\n\r\n---------\r\n\r\nCo-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>\r\nCo-authored-by: Alejandro Fernández Haro <afharo@gmail.com>","sha":"fb26c1c683453faa7f8218df094f90d9ad070a23"}},"sourceBranch":"main","suggestedTargetBranches":[],"targetPullRequestStates":[{"branch":"main","label":"v9.0.0","branchLabelMappingKey":"^v9.0.0$","isSourceBranch":true,"state":"MERGED","url":"https://github.com/elastic/kibana/pull/206836","number":206836,"mergeCommit":{"message":"SKA: Update broken references and URLs (#206836)\n\n## Summary\r\n\r\nUpdates a number of broken file references and broken links.\r\n\r\n---------\r\n\r\nCo-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>\r\nCo-authored-by: Alejandro Fernández Haro <afharo@gmail.com>","sha":"fb26c1c683453faa7f8218df094f90d9ad070a23"}}]}] BACKPORT-->
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45 lines
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---
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id: kibDevAddData
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slug: /kibana-dev-docs/getting-started/sample-data
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title: Add data
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description: Learn how to add data to Kibana
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date: 2021-08-11
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tags: ['kibana', 'onboarding', 'dev', 'architecture', 'tutorials']
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---
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Building a feature and need an easy way to test it out with some data? Below are three options.
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## Sample data
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Kibana ships with sample data that you can install at the click of the button. If you are building a feature and need some data to test it out with, sample data is a great option. The only limitation is that this data will not work for Security or Observability solutions (see [#62962](https://github.com/elastic/kibana/issues/62962)).
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1. Navigate to the home page.
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2. Click **Add data**.
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3. Click on the **Sample data** tab.
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4. Select a dataset by clicking on the **Add data** button.
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## CSV upload
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1. If you don't have any data, navigate to Stack Management > Index Patterns and click the link to the uploader. If you do have data, navigate to the **Machine Learning** application.
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2. Click on the **Data Visualizer** tab.
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3. Click on **Select file** in the **Import data** container.
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## makelogs
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The makelogs script generates sample web server logs. Make sure Elasticsearch is running before running the script.
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```sh
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node scripts/makelogs --auth <username>:<password>
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```
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## Realistic solution data
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<DocCallOut color="warning" title="Internal only">
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Security and Observability solution applications only work if data exists in particularly named indices, abiding by our [ECS format](https://www.elastic.co/guide/en/ecs/current/index.html). If you would like to use these applications with realistic data, check out the [oblt_cli tool](https://github.com/elastic/observability-test-environments/blob/main/docs/tools/oblt-cli/CONTRIBUTING.md). This tool sets you up to connect to a remote Elasticsearch cluster that contains the appropriate data via CCS.
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</DocCallOut>
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