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In Database Management Systems, a transaction is a logical unit of work that consists of one or more database operations. Transactions are especially important in data science systems because data pipelines frequently perform operations such as collecting data, transforming datasets, updating feature stores, recording model versions, and storing prediction results. The correctness and reliability of these operations are ensured by the four ACID properties: Atomicity, Consistency, Isolation, and Durability. Atomicity means that a transaction is treated as a single indivisible unit of work. Either all operations within the transaction are successfully completed, or none of them are applied to the database. This prevents partial updates that could leave the system in an inconsistent state. For example, consider a machine-learning feature store that maintains customer features such as average purchase value, purchase frequency, and customer risk score. Suppose a pipeline calculates new features and ______ __________ __________ ___ _________ _________ __________ ________ _______ ______.
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