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Understanding ETL (Extract, Transform, Load) processes is vital for students. Big Data and Machine Learning The intersection of Big Data and Machine Learning is a critical area of focus in a Big Data syllabus. Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets.
Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Explain the difference between supervised and unsupervised learning. Data Warehousing and ETL Processes What is a data warehouse, and why is it important?
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