IGNOU MCS 207 2026 2027 - Explain the ACID properties of transactions with a data science pipeli

Question

Explain the ACID properties of transactions with a data science pipeline example, such as feature
store updates or model versioning.

05 Aug 2026

Answer :

Word Count : 716

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 updates three related tables. If the update of the average purchase value succeeds but the risk-score update fails because of a database error, atomicity ensures that the successful update is rolled back. The database therefore does

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