Googling around, I came across Bradford Cross' article, Big Data Is Less About Size, And More About Freedom. Bradford writes, " The scale of data and computations is an important issue, but the data age is less about the raw size of your data, and more about the cool stuff you can do with it."

Even though the article makes some good points, I'm not sure I can agree with Bradford's point of view here. As an architect, when I think in terms of Big Data, the ability to do "cool stuff" is probably the last thing that crosses my mind. Big Data, to me, is about ensuring constant response time as the data grows in size without sacrificing functionality.

What do you think Big Data is about? Is it merely about being able to do 'cool stuff' with your data? Is it about ensuring constant access/response times? Or is it about something else? I'm eager …

I wrote this as a reply to Does Lean Startup Methodology Apply to Consumer Startups?" However, due to comment length restrictions on that blog, I am posting my comment here and welcome your thoughts.

"An enterprise will pilot products and iterate with a vendor: Let's run a 6 month consulting engagement/pilot to evaluate if this new database solves the problem."

Only an enterprise where there is a major disconnect between management and engineering will opt for this path. In enterprises where needed data I/O patterns are understood, taking such path may spell disaster.

The primary problem with the 'lean startup' methodology that I see is that it blindly preaches entrepreneurs to close their eyes, cut corners and just get the product …