A specific kind of data may be important for a few seconds or sometimes even a few years. Changing times catch up with all kinds of data. So what to do when data reaches its golden age? Archive! But it isn't enough to dump old data in a traditional data warehouse. We must think not only of data's immediate analytical value, but also at how to retain the value of data as it ages. This requires a new approach to archiving. We must ensure regulatory compliance and follow policies of data governance. We must provide access to data while preserving immutability of it or its metadata. Data should query enabled when needed, to generate new insights. Archives must be cost-efficient, enabling you take advantage of advances in data compression. Read more at : http://www.forbes.com/sites/teradata/2015/05/22/archived-but-accessible-retirement-planning-for-your-big-data/