{"id":22793305,"url":"https://github.com/fivetran/dbt_twitter_organic_source","last_synced_at":"2026-02-13T23:35:19.966Z","repository":{"id":37490847,"uuid":"414625193","full_name":"fivetran/dbt_twitter_organic_source","owner":"fivetran","description":"Fivetran's Twitter Organic source dbt package","archived":false,"fork":false,"pushed_at":"2025-10-01T20:42:55.000Z","size":933,"stargazers_count":1,"open_issues_count":0,"forks_count":2,"subscribers_count":44,"default_branch":"main","last_synced_at":"2025-10-01T22:24:43.940Z","etag":null,"topics":["dbt","dbt-packages","fivetran","social-media-analysis","twitter"],"latest_commit_sha":null,"homepage":"https://fivetran.github.io/dbt_twitter_organic_source/","language":"Shell","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fivetran.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2021-10-07T14:03:31.000Z","updated_at":"2025-10-01T20:53:09.000Z","dependencies_parsed_at":"2024-09-06T23:33:01.290Z","dependency_job_id":"d37ceac7-bec2-4295-b32a-67d5b7a5ee35","html_url":"https://github.com/fivetran/dbt_twitter_organic_source","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/fivetran/dbt_twitter_organic_source","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_twitter_organic_source","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_twitter_organic_source/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_twitter_organic_source/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_twitter_organic_source/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fivetran","download_url":"https://codeload.github.com/fivetran/dbt_twitter_organic_source/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fivetran%2Fdbt_twitter_organic_source/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29423534,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-13T22:20:51.549Z","status":"ssl_error","status_checked_at":"2026-02-13T22:20:49.838Z","response_time":78,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dbt","dbt-packages","fivetran","social-media-analysis","twitter"],"created_at":"2024-12-12T03:19:07.607Z","updated_at":"2026-02-13T23:35:19.959Z","avatar_url":"https://github.com/fivetran.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"# [DEPRECATED] Twitter Organic Source dbt Package\n\n\u003e _This package has been archived and is no longer maintained. Use [`dbt_twitter_organic`](https://github.com/fivetran/dbt_twitter_organic) instead, which now contains all models previously found here._\n\n\u003cp align=\"left\"\u003e\n    \u003ca alt=\"License\"\n        href=\"https://github.com/fivetran/dbt_twitter_organic_source/blob/main/LICENSE\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/License-Apache%202.0-blue.svg\" /\u003e\u003c/a\u003e\n    \u003ca alt=\"dbt-core\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/dbt_Core™_version-\u003e=1.3.0_,\u003c2.0.0-orange.svg\" /\u003e\u003c/a\u003e\n    \u003ca alt=\"Maintained?\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/Maintained%3F-no-green.svg\" /\u003e\u003c/a\u003e\n    \u003ca alt=\"PRs\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/Contributions-closed-blueviolet\" /\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## What does this dbt package do?\n- Materializes [Twitter Organic staging tables](https://fivetran.github.io/dbt_twitter_organic_source/#!/overview/twitter_organic_source/models/?g_v=1) which leverage data in the format described by [this ERD](https://fivetran.com/docs/applications/twitter#schemainformation). These staging tables clean, test, and prepare your Twitter Organic data from [Fivetran's connector](https://fivetran.com/docs/applications/twitter) for analysis by doing the following:\n  - Name columns for consistency across all packages and for easier analysis\n  - Adds freshness tests to source data\n  - Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.\n- Generates a comprehensive data dictionary of your Twitter Organic data through the [dbt docs site](https://fivetran.github.io/dbt_twitter_organic_source/).\n- This package contains staging models, designed to work simultaneously with our [Twitter Organic transform package](https://github.com/fivetran/dbt_twitter_organic) and our [Social Media Reporting package](https://github.com/fivetran/dbt_social_media_reporting).\n\n## How do I use the dbt package?\n### Step 1: Prerequisites\nTo use this dbt package, you must have the following:\n- A Fivetran Twitter Organic connection syncing data into your destination.\n- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.\n\n#### Databricks Additional Configuration\nIf you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your root `dbt_project.yml`. This is required in order for the package to accurately search for macros within the `dbt-labs/spark_utils` then the `dbt-labs/dbt_utils` packages respectively.\n```yml\ndispatch:\n  - macro_namespace: dbt_utils\n    search_order: ['spark_utils', 'dbt_utils']\n```\n\n### Step 2: Install the package (skip if also using the `twitter_organic` transformation package)\nInclude the following twitter_organic_source package version in your `packages.yml` file **only if you are NOT also installing the [Twitter Organic transformation package](https://github.com/fivetran/dbt_twitter_organic_source)**. The transform package has a dependency on this source package.\n\u003e TIP: Check [dbt Hub](https://hub.getdbt.com/) for the latest installation instructions or [read the dbt docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.\n\n```yaml\npackages:\n  - package: fivetran/twitter_organic_source\n    version: [\"\u003e=0.3.0\", \"\u003c0.4.0\"] # we recommend using ranges to capture non-breaking changes automatically\n```\n\n### Step 3: Define database and schema variables\nBy default, this package will look for your Twitter Organic data in the `twitter` schema of your [target database](https://docs.getdbt.com/docs/running-a-dbt-project/using-the-command-line-interface/configure-your-profile). If this is not where your Twitter Organic data is, please add the following configuration to your `dbt_project.yml` file:\n\n```yml  \nvars:\n    twitter_organic_schema: your_schema_name\n    twitter_organic_database: your_database_name \n```\n\n### (Optional) Step 4: Additional Configurations\n\u003cdetails open\u003e\u003csummary\u003eExpand for configurations\u003c/summary\u003e\n\n#### Changing the Build Schema\n\nBy default, this package will build the Twitter Organic staging models within a schema titled (`\u003ctarget_schema\u003e` + `_stg_twitter_organic`) in your target database. If this is not where you would like your Twitter Organic staging data to be written to, add the following configuration to your `dbt_project.yml` file:\n\n```yml \nmodels:\n    twitter_organic_source:\n      +schema: my_new_schema_name # leave blank for just the target_schema\n```\n\n#### Change the source table references\nIf an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable:\n\u003e IMPORTANT: See this project's [`dbt_project.yml`](https://github.com/fivetran/dbt_twitter_organic_source/blob/main/dbt_project.yml) variable declarations to see the expected names.\n    \n```yml\nvars:\n    twitter_\u003cdefault_source_table_name\u003e_identifier: your_table_name \n```\n\n#### Unioning Multiple Twitter Organic Connections\nIf you have multiple Twitter Organic connections in Fivetran and would like to use this package on all of them simultaneously, we have provided functionality to do so. The package will union all of the data together and pass the unioned table(s) into the final models. You will be able to see which source it came from in the `source_relation` column(s) of each model. To use this functionality, you will need to set either (**note that you cannot use both**) the `union_schemas` or `union_databases` variables:\n\n```yml\n# dbt_project.yml\n...\nconfig-version: 2\nvars:\n    ##You may set EITHER the schemas variables below\n    twitter_organic_union_schemas: ['twitter_organic_one','twitter_organic_two']\n\n    ##OR you may set EITHER the databases variables below\n    twitter_organic_union_databases: ['twitter_organic_one','twitter_organic_two']\n```\n\u003c/details\u003e\n\n## (Optional) Step 5: Orchestrate your models with Fivetran Transformations for dbt Core™\n\u003cdetails\u003e\u003csummary\u003eExpand for details\u003c/summary\u003e\n\u003cbr\u003e\n\nFivetran offers the ability for you to orchestrate your dbt project through the [Fivetran Transformations for dbt Core™](https://fivetran.com/docs/transformations/dbt) product. Refer to the linked docs for more information on how to setup your project for orchestration through Fivetran.\n\u003c/details\u003e\n\n## Does this package have dependencies?\nThis dbt package is dependent on the following dbt packages. These dependencies are installed by default within this package. For more information on the following packages, refer to the [dbt hub](https://hub.getdbt.com/) site.\n\u003e IMPORTANT: If you have any of these dependent packages in your own `packages.yml` file, we highly recommend that you remove them from your root `packages.yml` to avoid package version conflicts.\n    \n```yml\npackages: \n    - package: fivetran/fivetran_utils\n      version: [\"\u003e=0.4.0\", \"\u003c0.5.0\"]\n\n    - package: dbt-labs/dbt_utils\n      version: [\"\u003e=1.0.0\", \"\u003c2.0.0\"]\n\n    - package: dbt-labs/spark_utils\n      version: [\"\u003e=0.3.0\", \"\u003c0.4.0\"]\n```\n\n## How is this package maintained and can I contribute?\n### Package Maintenance\nThe Fivetran team maintaining this package **only** maintains the latest version of the package. We highly recommend you stay consistent with the [latest version](https://hub.getdbt.com/fivetran/twitter_organic_source/latest/) of the package and refer to the [CHANGELOG](https://github.com/fivetran/dbt_twitter_organic_source/blob/main/CHANGELOG.md) and release notes for more information on changes across versions.\n\n### Contributions\nThese dbt packages are developed by a small team of analytics engineers at Fivetran. However, the packages are made better by community contributions.\n\nWe highly encourage and welcome contributions to this package. Check out [this post](https://discourse.getdbt.com/t/contributing-to-a-dbt-package/657) on the best workflow for contributing to a package.\n\n## Are there any resources available?\n- If you encounter any questions or want to reach out for help, see the [GitHub Issue](https://github.com/fivetran/dbt_twitter_organic_source/issues/new/choose) section to find the right avenue of support for you.\n- If you would like to provide feedback to the dbt package team at Fivetran, or would like to request a future dbt package to be developed, then feel free to fill out our [Feedback Form](https://www.surveymonkey.com/r/DQ7K7WW).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffivetran%2Fdbt_twitter_organic_source","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffivetran%2Fdbt_twitter_organic_source","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffivetran%2Fdbt_twitter_organic_source/lists"}