General Data Processing
General Data Processing refers to the broad set of techniques, tools, and methodologies used to collect, transform, clean, analyze, and manage data from various sources. It encompasses the entire data lifecycle, from ingestion and storage to processing and output, often involving batch or real-time operations. This concept is fundamental in fields like data science, business intelligence, and software development for deriving insights and supporting decision-making.
Developers should learn General Data Processing to handle data-driven applications, such as building analytics platforms, ETL (Extract, Transform, Load) pipelines, or data-intensive services. It is essential for roles in data engineering, backend development, and machine learning, where efficient data manipulation ensures scalability, accuracy, and performance in systems that process large volumes of structured or unstructured data.