Description: The input format in data processing refers to the way data is structured and organized for reading and processing. For efficient data processing, it is crucial that the data is in a format that facilitates reading and analysis. The most common input formats include CSV, JSON, Parquet, and ORC, each with its own characteristics and advantages. For example, columnar formats like Parquet and ORC are highly efficient for analytical queries, as they allow for compression and access to specific columns without needing to read the entire file. This not only improves performance but also reduces storage and processing costs. Choosing the right input format can significantly impact query speed and overall data analysis efficiency.
