Big Data Platform Comparisons: 3 Key Points - InformationWeek

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Big Data Platform Comparisons: 3 Key Points
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Thomas Claburn
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Thomas Claburn,
User Rank: Author
2/18/2014 | 7:04:27 PM
Re: Hadoop's best fit
I'd be curious to know whether using funds intended for big data investments can be directed to product quality improvements for equivalent or better results. In other words, how much data analysis does an online company really need?
Charlie Babcock
IW Pick
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Charlie Babcock,
User Rank: Author
2/18/2014 | 3:20:49 PM
How to make the best use of Hadoop
There is so much useful information in server log files that does not lend itself to row and column storage that you know there's a great future for the more loosely structured Hadoop. We are still at the stage where we're trying to find the most useful data access method for Hadoop, sort of like the relational database era when it was still a debate whether SQL was best.
Lorna Garey
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Lorna Garey,
User Rank: Author
2/18/2014 | 3:03:20 PM
Disinterest or more
Doug, do you think it's smarter for companies really interested in Hadoop to hire a separate consultant to help them get the most from the platform? Maybe it'll cost more than working with an incumbent RDBMS provider, but you have to take into account that the motivation of a specialist is to make the very most of the Hadoop setup. Not so with the incumbent.
Laurianne
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Laurianne,
User Rank: Author
2/18/2014 | 1:27:24 PM
Hadoop's best fit
"Organizations are embracing Hadoop to take advantage of data they couldn't afford to keep before and, more importantly, to capture complex and variable data -- clickstreams, log files, mobile data, social data, and more -- that aren't easily managed in relational database management systems (DBMSs)." Important point. Hopefully Doug gave you some ammo here on how to explain this when you're talking to higher-ups who may not understand this distinction with Hadoop and SQL. Other advice to share on this point, readers?


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