Automated Video/Audio Processing Tutorial (Apache Airflow)

Описание: In this tutorial, we explore the world of Apache Airflow by orchestrating a media processing pipeline using Google Cloud Composer. Specifically, we'll guide you through an end-to-end workflow for extracting audio from video files, transcribing the audio using Google Cloud Speech-to-Text, and saving the transcript to cloud storage.

Key takeaways:
1. Learn how to set up and manage a serverless Cloud Composer environment on Google Kubernetes Engine Autopilot.
2. Build a DAG to extract audio from video files using ffmpeg and the Kubernetes Pod Operator.
3. Create a custom operator for long audio transcription jobs with Google Cloud Speech-to-Text.
4. Use Python operators to clean up and upload the transcript to Google Cloud Storage.
5. Gain insights into managing Kubernetes permissions and RBAC to ensure smooth execution of your DAGs.

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Demonstration Code: https://github.com/nodematiclabs/medi...

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0:00 Conceptual Overview
1:02 Cloud Composer Setup
2:54 Code Review (Part 1)
6:37 Cloud Storage Bucket Creation
7:13 Code Review (Part 2)
14:01 DAG Instantiation