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How does Data Engineering support Machine Learning and AI?
Data Engineering plays a critical role in Machine Learning (ML) and Artificial Intelligence (AI) by providing clean, structured, and accessible data. Data pipelines prepare raw data for training ML models through processes like data extraction, transformation, and loading (ETL). Without high-quality data, ML algorithms cannot perform accurately. Data Engineering ensures data consistency, enables feature engineering, and facilitates model deployment. It also supports real-time data streams, enhancing AI applications like predictive analytics, natural language processing, and recommendation systems, driving business growth and improving decision-making.
