Answer: ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two different approaches for processing and preparing data, commonly used in data integration workflows. The key differences are as follows: Key Differences:
Question 2: What is the CRISP-DM methodology in data analytics? Answer: CRISP-DM (Cross-Industry Standard Process for Data Mining) is a popular and widely used methodology for data analytics and data mining projects. It provides a structured approach to tackling data-related problems and consists of six phases: Why is CRISP-DM Important?
Supervised and unsupervised learning are two fundamental approaches in machine learning, which is widely used in data analytics. Here’s the key difference: Key Difference: Would you like to dive deeper into any related topics or examples?
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