One of the primary challenges in handling raw data is ensuring its accuracy and completeness. Data may contain errors, missing values, or biases that need to be addressed through data cleaning and preprocessing. Additionally, raw data can be voluminous and complex, requiring advanced data management techniques and tools to handle and analyze efficiently.
