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In the context of managing data pipelines on Google Cloud Platform, consider a scenario where a team is experiencing frequent failures in their data processing jobs. The team needs a solution that not only identifies and alerts them about these failures in real-time but also provides insights into error patterns to prevent future occurrences. Which Google Cloud service best addresses these requirements, and why? Choose the most accurate option.
A
Cloud Scheduler, because it allows for the scheduling of data pipeline jobs, ensuring they run at specified times.
B
Cloud KMS, as it enhances data encryption, securing the data pipeline against unauthorized access.
C
Error Reporting, because it provides real-time error tracking and alerting for applications, along with trend analysis for identifying recurring issues.
D
Cloud Composer, since it automates data pipeline deployment, streamlining the workflow orchestration.