Raw Data
Raw data refers to unprocessed, unorganized, and unanalyzed information collected from various sources, such as sensors, logs, surveys, or transactions. It is the initial form of data before any cleaning, transformation, or interpretation, often stored in formats like CSV, JSON, or binary files. In computing, raw data serves as the foundational input for data analysis, machine learning, and decision-making processes.
Developers should understand raw data to effectively handle data ingestion, preprocessing, and storage in applications like data pipelines, analytics platforms, and AI systems. It is essential for roles in data engineering, data science, and backend development, where managing unstructured or semi-structured data from sources like APIs, databases, or IoT devices is common. Proficiency with raw data ensures accurate data transformation and supports reliable insights in projects involving big data or real-time processing.