In computing, Concurrency Control is crucial when multiple transactions or processes access shared data concurrently. This practice prevents the potential issues such as data corruption or lost updates. Techniques for concurrency control include locking protocols, timestamp ordering, and optimistic concurrency control. These techniques ensure that transactions are executed in a way that maintains data integrity, even in high-load environments where many users might be interacting with the same dataset at once. The ultimate goal is to ensure that transactions appear to be executed in isolation, thereby not affecting each other during their execution.