Raw Data Storage
Raw Data Storage refers to the practice of storing data in its original, unprocessed format without any transformation, aggregation, or structuring. This approach preserves the data's fidelity and granularity, allowing for flexible analysis and processing later. It is commonly used in data lakes, log storage, and archival systems where the full context of the data must be retained.
Developers should use Raw Data Storage when building systems that require historical data integrity, such as analytics platforms, machine learning pipelines, or compliance-driven applications. It enables reprocessing of data with new algorithms or schemas without loss of information, making it ideal for scenarios where data usage patterns are unpredictable or evolving.