Docs: document BigQuery Storage Read API usage in Python

[Midhat-kazmi]

Adds documentation and a Python example for using BigQuery Storage Read API
with ReadFromBigQuery (method=DIRECT_READ), including permission notes.

Issue: #27026

[gemini-code-assist]

Summary of Changes

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This pull request enhances the Apache Beam documentation by integrating a new section that guides Python users on how to effectively utilize the BigQuery Storage Read API. The update aims to improve clarity for large-scale data processing by providing a practical code example and outlining necessary permissions, thereby enabling more efficient and parallel data reads from BigQuery.

Highlights

• BigQuery Storage Read API Documentation: Added a new documentation section specifically for using the BigQuery Storage Read API with Python in Apache Beam.
• Python Example for DIRECT_READ: Included a Python code example demonstrating how to use beam.io.ReadFromBigQuery with the method parameter set to DIRECT_READ for improved performance and parallelism.
• Permission Notes: Provided an important note detailing the additional permissions, such as bigquery.readsessions.create, required for utilizing the BigQuery Storage Read API.

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Changelog

• website/www/site/content/en/documentation/io/built-in/google-bigquery.md
  • Introduced a new paragraph explaining the benefits of using the BigQuery Storage Read API with DIRECT_READ in Python.
  • Added a new subsection titled 'Reading using BigQuery Storage Read API'.
  • Included a Python code block demonstrating the usage of beam.io.ReadFromBigQuery with method=beam.io.ReadFromBigQuery.Method.DIRECT_READ.
  • Appended a note highlighting the bigquery.readsessions.create permission requirement for the BigQuery Storage Read API.

Activity

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