Webcast: Best practices for Analysis Services administration
This session takes you on a end-to-end tour of management features for Analysis Services. Along the way, you’ll learn important best practices direct from the product team about how to configure, optimize and manage your Analysis Server. We expect this to be an essential session for new and experienced Analysis Services administrators alike.
Presented by: Donald Farmer
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> Live date: 6/23/2010 at 12:00 Pacific
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Too Much Information … How to Deal With It?
Kent wrote in with some thoughts – "Another take on the flood of information – signal anyway – comes from Mark Hurst (www.goodexperience.com).
As far as crowdsourcing, that’s got some serious potential downsides depending on the nature of the processing involved. As you get a larger and larger pool of people guessing at, say, the weight of a bull, then the average of their guesses will typically converge toward the bull’s actual weight. Consider, though, that a scale is probably easier to implement than a system for collecting large numbers of guesses. And consider the lack of correlation between quality and popularity in music. Some would even say there’s an inverse relationship there.
I think you pegged it when you said we have to pick and choose what to pay attention to, and that kind of filtering or selectivity will emerge as a vital life skill. In some areas, such as the stock market and internaltional diplomacy, people have been honing those skills for centuries."
I worry that that is indeed the answer. Picking and choosing the information we pay attention to. The reason it worries me is that I think we miss the little things that make a difference in huge ways. The little details that show connections and help us see better solutions are the key things – and if we don’t know the questions to even ask sometimes, it’s going to be really hard to filter through and not over-generalize. I WISH I had a good answer here. I think it’s probably a combination of efforts. This is one area we’ll have to keep up with advances in processing power to really make a difference.
It’s almost like we’ll have to spin cycles looking for unknown questions to answer based on the data we have at hand.
Isn’t that about the oddest thing I’ve said in a while? Looking for questions that are addressed in the data we have is a complete change in the paradigm. Sorta makes my head hurt just thinking about what that could mean in terms of development, programming and interfaces.
But… I have to say, I do think it’s a huge step toward what’s needed.
What do you think? Drop me an email.