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How To Manage Big Data
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Stefan_Bernbo
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Stefan_Bernbo,
User Rank: Apprentice
9/19/2012 | 3:40:42 PM
re: How To Manage Big Data
Interesting angle- It is true that a common challenge of data governance is a shortage of resources. We have identified a solution to decrease energy costs while at the same time increasing reliability and efficiency. I would be interested to see what you think: http://www.youtube.com/watch?v...
dchasselshp5
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dchasselshp5,
User Rank: Apprentice
7/6/2012 | 4:28:06 PM
re: How To Manage Big Data
This is interesting there was a point raised here http://www.ebizq.net/blogs/ebi... In summary MDM is seen as vital to see the BPM people first mindset be taken to enterprise level? Not only that as relevant data is identified and used at the front end so by default the other Gǣversions of the truthGǥ lurking in the legacy mess can be identified and archived? This is the use of MDM on the outside in approach which is now the focus? Interesting to see IBM now push this message? Whilst I am sure the use of MDM to support big data analytics has its place the ROI for improving operational efficiency may prove to be the better option? This aided by significant lower costs to build such front solutions? However this requires a good build tool that can deliver flexible application that represents the future. Naomi Blooms blog hits the spot http://infullbloom.us/?p=3222.
GǣGǪ.how those models can become applications without any code being written or even generatedGǥ.
GǣIf IGm right, youGll want to be on the agile, models-driven, definitional development side of the moat thus createdGǪ..Gǥ
Naomi went on to say later Gǣvendors are in trouble if not there (best) or moving quickly to object-based, metadata-driven, definitional development.Gǥ
This has already been created and proven in the UK and it really does work but that MDM capability will be important for larger companies try to sort out the legacy mess.


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