Data Conversion
Data conversion is the process of transforming data from one format, structure, or type to another to ensure compatibility, usability, or integration across different systems, applications, or storage methods. It involves techniques like parsing, mapping, and transformation to handle diverse data sources such as files, databases, APIs, or streams. This is essential in data processing, migration, and interoperability scenarios where data must be adapted for specific tools or requirements.
Developers should learn data conversion when working with data integration, ETL (Extract, Transform, Load) pipelines, or system migrations to handle incompatible data formats and ensure seamless data flow. It is crucial in scenarios like importing/exporting data between applications, converting legacy data to modern formats, or preparing data for analysis, machine learning, or reporting tools to avoid errors and maintain data integrity.