Too Much Data? Then 'Good Enough' Is Good Enough

ChelleChelle writes "While classic systems could offer crisp answers due to the relatively small amount of data they contained, today's systems hold humongous amounts of data content — thus, the data quality and meaning is often fuzzy. In this article, Microsoft's Pat Helland examines the ways in which today's answers differ from what we used to expect, before moving on to state the criteria for a new theory and taxonomy of data."

Comments

And there was much rejoicing... "yay."

[VortexCortex]

A bunch of rambling self-evident or speculative statements, followed by conclusion:

Conclusion

NoSQL systems are emerging because the world of data is changing. The size and heterogeneity of data means that the old guarantees simply cannot be met. Fortunately, we are learning how to meet the needs of business in ways outside of the old and classic database.

Which was apparent to everyone, and missed the real point: We have lots of data, and we're too impatient to wait for it to be aggregated, synchronized and processed. There goes 10 minutes of my life I'll never get back.

Here's a hint: People working on the solutions to this problem work in the financial sector and in quantum physics.

Too Long; Do not Read

[Comrade Ogilvy]

The researcher is just throwing together a bunch of problems that have existed, in some fashion, for a very long time, and concludes with open questions rather than even vague proposals for solutions. So I would say this article is both too detailed, and not detailed enough.