It’s little wonder that we’re moving from an application-oriented world to a data-driven one. Consider the amount of data we’re dealing with: Analysis by research firm IDC shows that data is expected to grow by a factor of 300 from 2005 to 2020, from 130 exabytes to 40,000 exabytes – aka 40 trillion gigabytes.
It’s hard for companies to get a better and broader understanding of their own business when data is wed to a particular application and applications run in isolation from each other. While that’s always been true, the situation grows more exacerbated the more data there is to handle. It means more joining, filtering, and manually cleaning the data with which you’re working in spreadsheets; it means living through more lag time with data warehouses in an age when real-time rules; and it means a hardship to bring social, mobile, and machine data along for the ride with enterprise data because traditional tools, such as data warehouses, don’t lend themselves to processing information that usually isn’t derived from transaction data.