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Data Interview Question

ETL Process for Video Data

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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?