ETL Process for Video Data

Requirements Clarification & Assessment

1. End Goal of the ETL Process:

   • What specific insights or outputs are expected from the ETL pipeline?
   • How will the processed data be utilized within the organization?

2. Dataset Size and Source:

   • What is the approximate size of the video dataset?
   • Where is the video data sourced from? (e.g., cloud storage, local servers)

3. Data Processing Frequency:

   • Is the ETL process a one-time task, or will it be a continuous operation?
   • How frequently will new video data be added to the system?

4. Data Structure and Format:

   • Are there specific metadata fields that need to be extracted?
   • What is the current format of the video data? (e.g., MP4, AVI)

5. Machine Learning Model Requirements:

   • How will the machine learning model ingest data from the ETL process?
   • Are there specific data preprocessing steps required for the model?

6. Infrastructure and Tools:

   • What existing tools or platforms (e.g., Apache Spark, AWS, etc.) are available?
   • Are there any constraints on the choice of technology stack?