Storage Format
Storage format refers to the way data is organized and stored in a computer system. In data science and artificial intelligence, storage format plays a crucial role in determining the efficiency and effectiveness of data processing. The choice of storage format depends on various factors such as the type of data, the size of data, the frequency of data access, and the processing requirements. Common storage formats used in data science and artificial intelligence include CSV, JSON, Parquet, ORC, Avro, and HDF5. Each storage format has its own advantages and disadvantages in terms of data compression, data encoding, data partitioning, and data schema evolution. Choosing the right storage format can significantly impact the performance of data processing and analysis. Therefore, it is important for data scientists and artificial intelligence experts to have a good understanding of different storage formats and their trade-offs.
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