Which factor enhances the reliability of a data warehouse deployment?

Robust error handling processes significantly enhance the reliability of a data warehouse deployment because they ensure that any issues encountered during data ingestion, transformation, or querying are effectively managed. In a data warehouse environment, where large volumes of data are processed, errors can lead to data corruption, downtime, or inconsistent reporting if not properly addressed. Effective error handling involves logging errors, providing clear feedback, and implementing recovery mechanisms, which help to maintain data integrity and service continuity. This approach minimizes the impact of unforeseen issues and fosters a stable and trustworthy data environment for decision-making.

While other factors like data compression, distributed data storage, and predefined data models play important roles in the performance, scalability, and organization of a data warehouse, they do not directly address the critical aspect of managing and recovering from errors, which is vital for maintaining reliability.