A look at the database lifecycle

Oracle president Charles Phillips outlined the database life cycle in a chart that was laid out how information has run amok.

Now that's good for Oracle, which is touting its 11g. And Phillips' main point is that when data gets tough companies wind up with Oracle. Despite that commercial, the lifecycle outlined was worth a quick post. Here's a quick data lifecycle--where do you fall on this scale?

Enterprises...

1. Start off with spreadsheets to departmental to enterprise
2. See exponential data growth
3. Face different applications with different performance and data needs
4. Deal with more software vendors
5. See programming models
6. Face constituencies--consumers, partners, regulators, customers suppliers
7. Get crushed by transactions and security concerns
8. Realize data quality needs to improve
9. Get more users
10. Grow geographies and time zones
11. More regulation
12. Get hit with process and regulaton morasss
13. Demand business analytics and insight
14. Face increased hardware and storage costs.