Originally posted by sasguru
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Big Data
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And what exactly is wrong with an "ad hominem" argument? Dodgy Agent, 16-5-2014 -
Big Data is one of terms that gets picked up as a buzzword by recruiters (much like "agile" a few years ago).
If you look below the bulltulip, it does actually have a realy meaning (which is probably not required by 90% of the adverts).Comment
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Originally posted by GB9 View PostGetting seriously peed off by the term Big Data appearing in role requirements.
For those of you in HR / Agency - Big Data is a marketing term. There is no difference to what you can do with data now.
For those responsible for data security / safety / accuracy - Big Data also equals 'uncontrolled'. The sort of thing most companies have been battling against for years.
FFSOriginally posted by MaryPoppinsI'd still not breastfeed a naziOriginally posted by vetranUrine is quite nourishingComment
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Originally posted by GB9 View PostGetting seriously peed off by the term Big Data appearing in role requirements.
For those of you in HR / Agency - Big Data is a marketing term. There is no difference to what you can do with data now.
For those responsible for data security / safety / accuracy - Big Data also equals 'uncontrolled'. The sort of thing most companies have been battling against for years.
FFSLet us not forget EU open doors immigration benefits IT contractors more than anyoneComment
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Originally posted by DodgyAgent View PostDoes that mean then that someone who has built a chicken hut could easily turn his hand to building a sky scraper?
'Can I convince HR numpties that someone who has built a chicken hut could easily turn his hand to building a sky scraper?'
Answer is probably;
'Yes'.And what exactly is wrong with an "ad hominem" argument? Dodgy Agent, 16-5-2014Comment
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Originally posted by d000hg View PostApart from all the specific BD technologies people want to (mostly needlessly) used, which you either do or do not have experience with.
Now there's high volume, and there's high volume. If you wander off and do some stochastic forecasting e.g. drug development or liability forecasting over a 30 year time-frame, you will generate terabytes of data. Most databases can handle that. Its only when you get into really really big data capture (imagine Hadron Collider sensor recordings, Walmart's transactional data or Google searchy type stuff) that things get tricky.
A lot of companies define Big Data as meaning 'wide ranging'. Oracle is one, from memory. Includes all data not traditionally analysed e.g. social network / media / photos etc.Comment
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Originally posted by DodgyAgent View PostDoes that mean then that someone who has built a chicken hut could easily turn his hand to building a sky scraper?Comment
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Originally posted by GB9 View PostTypically I am seeing recruiters use it to mean 'high volume'.
Now there's high volume, and there's high volume. If you wander off and do some stochastic forecasting e.g. drug development or liability forecasting over a 30 year time-frame, you will generate terabytes of data. Most databases can handle that. Its only when you get into really really big data capture (imagine Hadron Collider sensor recordings, Walmart's transactional data or Google searchy type stuff) that things get tricky.
A lot of companies define Big Data as meaning 'wide ranging'. Oracle is one, from memory. Includes all data not traditionally analysed e.g. social network / media / photos etc.Hard Brexit now!
#prayfornodealComment
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Originally posted by GB9 View PostNot necessarily, but if they are good they could build a bloody great big chicken hut.Let us not forget EU open doors immigration benefits IT contractors more than anyoneComment
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Originally posted by sasguru View PostIt's not storing the stuf that's the problem, it's doing something useful with it, like modelling.Comment
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