Prioritize long-term data retention based on relevance, regulatory requirements, and potential business value. Retain data critical for compliance, trend analysis, or strategic decisions, and archive less-used information in compressed formats. Implement a data lifecycle policy, periodically reviewing data to delete or archive outdated or redundant files efficiently.

When storage is limited, I prioritize data based on its relevance to current and future projects, its potential value for decision-making, and regulatory or compliance requirements. I also conduct periodic reviews to identify and eliminate redundant, obsolete, or trivial (ROT) data. For important but infrequently accessed data, I employ archiving solutions to ensure space is used efficiently. Additionally, I leverage data compression and deduplication tools to optimize storage capacity while retaining critical information. This approach ensures I keep only the most valuable data while maximizing storage efficiency.

Diferenciar entre dados ativos e inativos: Categorizar os dados em “ativos” (que s?o usados regularmente) e “inativos” (que n?o s?o acessados com frequência). Dados ativos devem ser armazenados de forma mais acessível, enquanto dados inativos podem ser arquivados em solu??es de armazenamento mais econ?micas, como armazenamento em nuvem ou dispositivos de backup.