Large amounts of data bring large operational challenges. For example, planned or unplanned outages take longer because more disk space means more time to back-up, recover, reorder, etc. This all has a cost in one way or another. Data Archiving for Adabas implements a data life cycle to manage this problem, allowing the production database content to be focused on present-day activities.
If up to 85% of your data can be managed in a different way to present-day data, you can make some clear economic savings. You can also heighten the level of service provision for your primary data services. By focusing your core systems on your primary data you will reduce outages, increase responsiveness, consume less primary disk space and you will be able to focus on increasing primary systems availability and capacity.
At the same time as attaining focus on your primary systems you can use Data Archiving for Adabas to make historical data available in a less expensive infrastructure. You can archive your inactive database content to less expensive computers, architectures and disk storage without losing the ability to search the content later or indeed recall it to its original form.
It is certainly feasible for database content to be archived manually using standard utilities, perhaps mixed with some specially written programs. Manual mechanisms are high-risk in terms of data consistency and legal compliance, especially because the amount of data to be archived is growing and the period the data must remain archived is increasing. What is needed is software tooling that delivers a well-managed infrastructure that provides a consistent, automated, systematic process that can be relied upon for a very long period. Data Archiving for Adabas delivers the automation needed to operate a valuable, reliable archiving system asset over a long period of time.
