Mastering ETL Pipelines in MLOps: Data Extraction, Transformation & Loading Explained
MLOps is more than model deployment it’s the backbone of how real-world machine learning systems operate at scale. In this video, we break down one of its most vital foundations - Data Management and explore how the ETL Pipeline (Extract, Transform, Load) enables high-quality, production-grade ML workflows.
You’ll learn:
• How Data Management forms the core of MLOps success
• Step-by-step understanding of the ETL process (Extract, Transform, Load)
• A real-world example - How a company like Nike uses ETL and data pipelines to unify sales data from multiple sources
Whether you’re an aspiring Data Scientist, Machine Learning Engineer, or MLOps Practitioner, this video will help you connect the dots between data engineering, automation, and model deployment.
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