Python, Data, Data Engineering.
normalization, and enrichment processes. Understanding data cleansing, normalization, and enrichment processes is essential in data engineering to enhance data quality, integrity, and usability, preparing data for analysis and decision-making with confidence and accuracy. — (1–2 weeks). - Learn