Military Supply Data Search Tool Uses MongoDB - InformationWeek

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Military Supply Data Search Tool Uses MongoDB
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Li Tan
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Li Tan,
User Rank: Ninja
1/7/2014 | 10:49:44 PM
Re: It's worth the purchase price
Such kind of powerful tool will definitely help not only DoD but also the industry in general. Using NoSQL DB such as Mongo is a good choice for such kind of scenario. For such kind of massive data processing, big-data should come into play. Personally I am willing to know more about how this startup performed in DoD project?
WKash
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50%
WKash,
User Rank: Author
1/6/2014 | 4:45:56 PM
Re: It's worth the purchase price
I suspect that this was less about the company getting it's foot in DoD's stockade than it was a case of a smart group of entrepreneurs seeing a market need and developing an approach that not only helped the contractor community, but also probably made life easier for military logistics folks who wouldn't have had the money or authority to build this on their own.

 
cbabcock
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cbabcock,
User Rank: Strategist
1/3/2014 | 6:53:02 PM
It's worth the purchase price
Anything that helps the Department of Defense track 7 million products is probably going to be worth the purchase price. These types of tools have been lacking in the past, and the NoSQL approach with its loosely defined data types is just the thing. I wonder how this startup got its foot in DOD's door?
WKash
50%
50%
WKash,
User Rank: Author
1/3/2014 | 12:05:59 PM
Re: Another Perfect Use Case for NoSQL
Thanks for pointing out the MetLife example of using NoSQL/MongoDB for disparate data bases.  This story points out yet again how the inefficiencies of government data reporting creates pockets of business opportunity for specialty firms to gather and package up data that otherwise is freely available but hard to process. 
D. Henschen
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50%
D. Henschen,
User Rank: Author
1/3/2014 | 11:33:35 AM
Another Perfect Use Case for NoSQL
For MetLife the call for NoSQL was rooted in disparate data models across various acquired and organically developed product lines over a period of years. That led to disparate customer databases and the use of MongoDB to get a 360-degree view of all those customers -- a big, common problem. The Department of Defence use case explained here is another common scenario. Supply chains are invariably conglomerations of disparate commodity and part catalogs. Even vendors sellling the same goods have wildly different data models with unique numbering schemes, product descriptions and product dimensions and data.

I keep hearing NoSQL naysayers point out that NoSQL doesn't always make sense. That's certainly true, but the world is discovering that there are many use cases where it makes perfect sense.


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