101–110 of 285 posts
Earlier quoted context omitted.
I quote my friend who works in "Big Data": "sometimes I think Big Data is just Excel on 128GB of RAM"
Not to go all senselessly pedantic, but doesn't Excel have a limit of like 55,000 rows?
Long before this was reported in the New York Times, this was the finding of research in industrial and organizational psychology. A valid hiring procedure is a procedure that actually finds better workers than some different procedure, not a hiring procedure that some interviewer can make up a rationale for because it seems logical to the interviewer. We have been discussing home-brew trick interview questions here on Hacker News for more than a year now.
https://news.ycombinator.com/item?id=4879803
Brain-teaser or life-of-the-mind interview questions do nothing but stroke the ego of the interviewer, without doing anything to identify job applicants who will do a good job. The FAQ on company hiring procedures at the Hacker News discussion linked here provides many more details about this.
The original article - http://mobile.nytimes.com/2013/06/20/business/in-head-huntin... Distraction free reading and without all the annoying cruft of Quartz. Fascinating use of "Big Data" to cut through the bullshit. Wonder if it will change anything. I suspect the "tough" interview plays well into a company's PR.
The original article - http://mobile.nytimes.com/2013/06/20/business/in-head-huntin... Distraction free reading and without all the annoying cruft of Quartz. Fascinating use of "Big Data" to cut through the bullshit. Wonder if it will change anything. I suspect the "tough" interview plays well into a company's PR.
Is Google's HR data set really "Big Data" or just "data?" Seems like it would fit into a normal database. Or maybe even an unwieldy Excel spreadsheet.
We get it, big data it's not really "big" unless you talk giga(tera?)bytes.
Do not take upon yourself to educate any single person that misuses the term. It's not worth it. :)
I had a couple questions like this at a couple of interviews more than a few years back now. In both cases, I sat for a minute, and asked a few questions back, like "do you mean the city limits of Raleigh, or the metro area?", "how do you define gas station - do we include public-only, or private fueling places?", etc. Part of this was buying some time, because the question caught me off guard, but I think my questions back caught him off guard a bit too.
That interviewer told me I was the only person who asked clarifying questions before blurting out an answer or walk through. Another one was "take this marker and design a house on the whiteboard for me". So I took the marker and asked questions like "how many people will live here, do you want one or two story, do you need a garage/shed/basement, etc?" And again, was told I was the only person who'd asked questions before starting to draw.
I don't think the intention behind those brain teasers was necessarily to determine how you react to those sorts of problems, but it may have been a useful determining factor for some interviewers nonetheless.
There are questions that are actually fun and I can sort of see them starting a conversation with the right kind of interviewer that tells both parties a lot about who they're dealing with. From the article: > How much should you charge to wash all the windows in Seattle? Basic economics estimating - probably not that useful and a bit dull, but hey why not. At least the problem has several angles to it that might be…
horrible question, it took me a few seconds to figure out they are talking about the game Monopoly.
The original article - http://mobile.nytimes.com/2013/06/20/business/in-head-huntin... Distraction free reading and without all the annoying cruft of Quartz. Fascinating use of "Big Data" to cut through the bullshit. Wonder if it will change anything. I suspect the "tough" interview plays well into a company's PR.
>I suspect the "tough" interview plays well into a company's PR. from: "The trick Max Levchin used to hire the best engineers at PayPal" Levchin realized the best engineers wanted to be challenged both in their jobs and in the interview process. “We cultivated a very public culture of being incredibly hard to get in. Even though it was actually very hard to get good people to even interview, we made a point of broadc…
Earlier quoted context omitted.
They've reported receiving 1million applications per year. If even a fraction of those get interviewed (with 1-5 interviews per candidate) that's a good chunk of data. Correlate that with regular performance reviews of 30k employees... I'd say that's a small Big Data problem.
30k? Data. Not Big Data And "Small Big Data" is probably data as well.
Earlier quoted context omitted.
>I suspect the "tough" interview plays well into a company's PR. from: "The trick Max Levchin used to hire the best engineers at PayPal" Levchin realized the best engineers wanted to be challenged both in their jobs and in the interview process. “We cultivated a very public culture of being incredibly hard to get in. Even though it was actually very hard to get good people to even interview, we made a point of broadc…
> "That's a challenge. I'm going to go interview there just to prove to these suckers that I'm better." Well that, or: http://en.wikipedia.org/wiki/Dunning–Kruger_effect
[0]: https://fbcdn-sphotos-b-a.akamaihd.net/hphotos-ak-ash4/p480x...
