Data processing is the conversion of raw data into meaningful information through a series of operations and transformations. It involves collecting, organizing, analyzing, and summarizing data to extract insights and support decision-making. The process typically includes several stages, such as data collection, data cleaning, data transformation, data analysis, and data visualization.
Data processing can be performed manually by humans, but it is often automated using computer software and algorithms, especially when dealing with large volumes of data. Various technologies and tools are used for data processing, including databases, spreadsheets, programming languages like Python or R, and specialized data processing platforms such as Apache Hadoop or Apache Spark.
