adatredundancia

Adatredundancia is a term used to describe the presence of duplicate data within information systems. It refers to situations where the same data elements are stored more than once in databases, file systems, or data stores. Redundancy may be deliberate, to improve availability, fault tolerance, or read performance, or it may arise unintentionally from data integration or evolving schemas.

Causes and contexts include database denormalization for faster queries, archival practices that retain multiple copies, replication across servers, snapshots and backups, and data integration from multiple sources. In distributed systems, redundancy can also emerge from multi-node storage and caches that mirror data to reduce latency.

Benefits include higher data availability and resilience against single-node failures, improved read performance, and simpler recovery from outages. Drawbacks include increased storage costs, greater maintenance overhead, and a higher risk of data inconsistencies if updates are not propagated properly. Redundant copies can become out of sync, leading to integrity issues.

Management strategies aim to balance redundancy with integrity. Techniques include database normalization to minimize repetition, controlled denormalization for performance, data deduplication and compression, master data management to maintain a single source of truth, and careful replication with consistent synchronization. Governance, versioning, and clear retention policies help ensure that redundancy serves reliability rather than confusion.

Adatredundancia is commonly discussed in the broader context of data management, information systems design, and storage architectures. Related concepts include normalization, denormalization, deduplication, replication, RAID, backups, and data governance.