Data archiving is the process of identifying and moving inactive data out of current production systems and into specialized long-term archival storage systems. Moving inactive data out of production systems optimizes the performance of resources needed there while specialized archival systems store information more cost-effectively and provide for retrieval when needed.
Who uses data archiving, and why
Data archiving is essential for organizations that accumulate new information but still need to retain older information. The trends of corporate and agency policy, legal precedent, and government law and regulation are for longer retention, more information, and faster retrieval. Automated data archiving helps organizations to achieve these capabilities at lower costs.
How data archiving works
Organizations set their own policies for qualifying data to be moved into archives. These policy settings are used to automate the process of identifying and moving the appropriate data into the archive system. Once in the archive system, information remains online and accessible. Original content is preserved to ensure complete, reliable integrity for the life of the archived information
Benefits of data archiving
Automating the data archive process and using purpose-built archive systems make production systems run better, use less resources, and reduce overall storage costs. Production performance is unaffected by information growth. Backup and recovery runs faster, disaster recovery is less costly, and systems are easier to manage. Data moved into archives is stored at much lower cost.