damondouglas opened a new issue, #33850:
URL: https://github.com/apache/beam/issues/33850

   ### What needs to happen?
   
   The output of this task is to migrate visualization of metrics in 
https://beam.apache.org/documentation/io/connectors/ using a platform allows 
for public embedding. [Looker Studio](https://lookerstudio.google.com/c/) might 
be a candidate as well as [Tableau 
Public](https://www.tableau.com/community/public).
   
   Currently, metrics published via 
https://beam.apache.org/documentation/io/connectors/ does through through a 
[Looker](https://cloud.google.com/looker) instance produced 
[Look](https://cloud.google.com/looker/docs/viewing-looks)s. Originally, the 
system design depended on the [Public 
embedding](https://cloud.google.com/looker/docs/publishing-looks-with-public-urls)
 feature that proved to get 404 errors with non-authenticated users. Images 
currently published on https://beam.apache.org/documentation/io/connectors/ 
were generated via Looker's 
[API](https://cloud.google.com/looker/docs/reference/looker-api/latest) which 
became a brittle solution when needing to update the 
[Look](https://cloud.google.com/looker/docs/viewing-looks).
   
   Whatever the choice in platform, it could still use the same underlying 
BigQuery 
View`apache-beam-testing.public_looker_explores_us.public_us_io_performance_metrics`.
   
   ### Issue Priority
   
   Priority: 2 (default / most normal work should be filed as P2)
   
   ### Issue Components
   
   - [ ] Component: Python SDK
   - [ ] Component: Java SDK
   - [ ] Component: Go SDK
   - [ ] Component: Typescript SDK
   - [ ] Component: IO connector
   - [ ] Component: Beam YAML
   - [ ] Component: Beam examples
   - [ ] Component: Beam playground
   - [ ] Component: Beam katas
   - [ ] Component: Website
   - [ ] Component: Infrastructure
   - [ ] Component: Spark Runner
   - [ ] Component: Flink Runner
   - [ ] Component: Samza Runner
   - [ ] Component: Twister2 Runner
   - [ ] Component: Hazelcast Jet Runner
   - [ ] Component: Google Cloud Dataflow Runner


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