What do you guys think about a system that would 'guide' the user through the process of creating a star schema data warehouse (Kimball style)?
The advantage of this approach would be the fact that you do the dirty laundry upfront during the modeling & population phases. The end result is a data structure that is fool-proof, i.e. there is only one way to join facts/dimensions, it's self-documenting. In fact pre-joined views could automatically be created (and persisted if need be), giving the business user a clean structure to interact with.
'cure cancer' was just a placeholder for anything of greater importance to the human condition. However, maybe you are onto something. Maybe ads are indeed the lifeblood of the new interconnected, networked world of century 21 and beyond. I guess nobody figured out a better way to sustain life on the 'internets'. Yet...
Wow. Definitely, an interesting reading. And a special guy, no question about it. On the other hand, the guy didn't cure cancer. Doesn't it give anyone pause to thin that the topic of conversation is 'ads'? You know, those little annoying things you would never click, and which get in the way of your normal life.
I mean we're talking about billions of dollars. So much human talent, skill, intelligence taken away from really important things... Just sad...
How does this distribution play with the outside world? Will I be able to install other third party libraries into the distribution? Does it have its own 'installation procedure'?
First of all, I'd like to congratulate Ryan Carson on the idea of 4-day work week. Hopefully this would start the ball rolling on the whole discussion of work/life balance here in the states. It is such a great concept and I'm sure will attract a lot of top talent.
The only thing is, it needs validation. I hope the company does really well in the long run, and therefore puts 4-day work week on the table for others to follow. Wouldn't that be great...
Same here... 15" MBA is what I've been waiting for for a long time. I'm on 2nd generation 15" MBPro, which can die any day now. Not sure why this is not considered a priority for Apple, since it would be a perfect work machine (13" is just too small).
BI field has been moving slowly but steadily into mainstream as more and more businesses recognize the need to be able to analyze internally generated information.
What are the biggest unsolved challenges in the field as of today?
1) Is it difficulty in getting a project up and running quickly due to lack of in-house expertise?
2) Is it expense of getting all the moving parts (software/hardware/personel) together?
3) Is it lack of strong management buy-in?
4) Is it bad/incomplete/fragmented data?
...
You know Facebook + Google, as big as they are, do not equal United States of America, which is still bogged down by the biggest recession since the Great Depression. What bubble are you talking about? These companies sit on small mountains of cash and can afford bidding wars over top engineering talent, especially that software is their livelihood. Let me assure you, hiring managers of 99% of companies in the US don't stand on street corners and bid up software engineers' salaries. You can sleep in peace...
YES.
Not every developer (or a technical startup founder) is a sys admin or wants to get deep into server provisioning/software installation issues. This is orthogonal to what they are trying to build (at least in the beginning). I believe your idea has legs. Pursue it.
Can people please stop using the "make adder" examples? Can't you come up with something original and fresh? The triviality of what is acomplished in such case actually obscures the usefulness and power of the concept. As a result, the novice will interpret the end product as some useless, magical mambo jumbo that doesn't give him much. So who cares if I can get a function that adds a number to something. I have a "+" for that. Give me a use case that I can admire...
Why do you want me to appreciate a ferrari if all you do with it is go pick up some groceries...
The advantage of this approach would be the fact that you do the dirty laundry upfront during the modeling & population phases. The end result is a data structure that is fool-proof, i.e. there is only one way to join facts/dimensions, it's self-documenting. In fact pre-joined views could automatically be created (and persisted if need be), giving the business user a clean structure to interact with.