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* GitBook: [#177] Documentation Update - Airflow * GitBook: [#195] Removing Cron from databaseServices * GitBook: [#196] Added trino * GitBook: [#197] removed cron from config * GitBook: [#198] Added Redash Documentation * GitBook: [#199] Added Bigquery Usage Documentation * GitBook: [#200] Added page link for presto * GitBook: [#201] Added Local Docker documentation * GitBook: [#202] Added Documentation for Local Docker Setup * GitBook: [#203] Added Git Command to clone Openmetadata in docs * GitBook: [#207] links update * GitBook: [#208] Updating Airflow Documentation * GitBook: [#210] Adding Python installation package under Airflow Lineage config * GitBook: [#211] Change the links to 0.5..0 * GitBook: [#213] Move buried connectors page up * GitBook: [#214] Update to connectors page * GitBook: [#215] Removed sub-categories * GitBook: [#212] Adding Discovery tutorial * GitBook: [#220] Updated steps to H2s. * GitBook: [#230] Complex queries * GitBook: [#231] Add lineage to feature overview * GitBook: [#232] Make feature overview headers verbs instead of nouns * GitBook: [#233] Add data reliability to features overview * GitBook: [#234] Add complex data types to feature overview * GitBook: [#235] Simplify and further distinguish discovery feature headers * GitBook: [#236] Add data importance to feature overview * GitBook: [#237] Break Connectors into its own section * GitBook: [#238] Reorganize first section of docs. * GitBook: [#239] Add connectors to feature overview * GitBook: [#240] Organize layout of feature overview into feature categories as agreed with Harsha. * GitBook: [#242] Make overview paragraph more descriptive. * GitBook: [#243] Create a link to Connectors section from feature overview. * GitBook: [#244] Add "discover data through association" to feature overview. * GitBook: [#245] Update importance and owners gifs * GitBook: [#246] Include a little more descriptive documentation for key features. * GitBook: [#248] Small tweaks to intro paragraph. * GitBook: [#249] Clean up data profiler paragraph. * GitBook: [#250] Promote Complex Data Types to its own feature. * GitBook: [#251] Update to advanced search * GitBook: [#252] Update Roadmap * GitBook: [#254] Remove old features page (text and screenshot based). * GitBook: [#255] Remove references to removed page. * GitBook: [#256] Add Descriptions and Tags section to feature overview. * GitBook: [#257] Update title for "Know Your Data" Co-authored-by: Ayush Shah <ayush.shah@deuexsolutions.com> Co-authored-by: Suresh Srinivas <suresh@getcollate.io> Co-authored-by: Shannon Bradshaw <shannon.bradshaw@arrikto.com> Co-authored-by: OpenMetadata <github@harsha.io>
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1.6 KiB
| description |
|---|
| This guide will help process the data using different pipelines |
PII
Install from PyPI
{% tabs %} {% tab title="Install from PyPI" %}
pip install 'openmetadata-ingestion[pii-processor]'
python -m spacy download en_core_web_sm
{% endtab %} {% endtabs %}
Configuration
"processor": {
"type": "pii",
"config": {}
},
Publish to OpenMetadata
{% hint style="info" %} We can use this in different Database Services {% endhint %}
Below is the configuration to publish MySQL data into the OpenMetadata service.
Add optionally pii processor and metadata-rest sink along with metadata-server config
Following is the example for mysql.json
{% code title="mysql.json" %}
{
"source": {
"type": "mysql",
"config": {
"username": "openmetadata_user",
"password": "openmetadata_password",
"database": "openmetadata_db",
"service_name": "local_mysql",
"data_profiler_enabled": "true",
"data_profiler_offset": "0",
"data_profiler_limit": "50000",
"filter_pattern": {
"excludes": ["mysql.*", "information_schema.*", "performance_schema.*", "sys.*"]
}
}
},
"processor": {
"type": "pii",
"config": {}
},
"sink": {
"type": "metadata-rest",
"config": {}
},
"metadata_server": {
"type": "metadata-server",
"config": {
"api_endpoint": "http://localhost:8585/api",
"auth_provider_type": "no-auth"
}
}
}
{% endcode %}
Run Manually
metadata ingest -c ./examples/workflows/mysql.json