Data transformation is the process of converting data from one format, structure, or value set to another to make it suitable for analysis, integration, or operational use. This involves steps such as data cleaning, normalization, aggregation, and enrichment to ensure consistency and compatibility with target systems. Data transformation is essential in data integration workflows, enabling organizations to combine data from diverse sources, enhance data quality, and derive meaningful insights. By transforming data, businesses can optimize their data for various applications, improve decision-making, and support advanced analytics.