You're facing data accessibility challenges. How can you optimize storage efficiency and performance?

Use Data Compression – Reduce data size to save space and improve access. Implement Tiered Storage – Store frequently used data on faster storage, and archive less-used data. Leverage Data Deduplication – Remove redundant data copies. Optimize Database Indexing – Improve data retrieval speed with proper indexing. Archive Historical Data – Move old data to reduce load on primary storage. Utilize Cloud Storage – Use scalable cloud options for flexibility and efficiency. Automate Data Cleanup – Regularly delete obsolete data. Apply Data Partitioning – Break large datasets into smaller, more manageable sections.

To obtain data accessibility goals while optimizing storage efficiency and performance, consider: Tiered Storage: A multi-tier storage system, with frequently accessed data on high-speed storage (e.g. SSDs) and less critical data on slower/cost-effective media (e.g. HDDs/cloud). Indexing & Query Optimization: Indexing and query optimization enhances data retrieval performance. Data Archiving: Effective Archiving reduces the active dataset size improving access times. Storage Virtualization: Storage virtualization optimizes capacity, improving data availability and performance. Automated Data Lifecycle Management: Automated archiving/backup/migration based on usage-Storage patterns, helps to keep system efficient and accessible.

1. Assess storage needs: Identify essential data and prioritize it. 2. Implement tiered storage: Use different solutions for quick access and archival data. 3. Organize data: Structure data logically for easier retrieval. 4. Use compression: Reduce data size to save space. 5. Monitor performance: Regularly check for bottlenecks and make adjustments.