Don't be Hadooped when looking for Big Data ROI
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Extracting value from Big Data is not easy. The field of technologies and vendors is fragmented and rapidly evolving. End-to-end, general purpose solutions that work out of the box don’t exist ...
Extracting value from Big Data is not easy. The field of technologies and vendors is fragmented and rapidly evolving. End-to-end, general purpose solutions that work out of the box don’t exist yet, and Hadoop is no exception. And most companies lack Big Data specialists. The key to unlocking real value /// extracting the gold nuggets at the end of the rainbow (???) /// lies with mapping the business requirements smartly against the emerging and imperfect ecosystem of technology and vendor choices.
There is a long list of crucial questions to think about. How fast is the data flying at you? Are your Big Data analyses tightly integrated with existing systems? Or parallel and complex? Can you tolerate a minute of latency? Do you accept data loss or generous SLAs? Is imperfect security good enough?
The answer to Big Data ROI lies somewhere between the herd and nerd mentality. Thinking hard and being smart about each use case as early as possible avoids costly mistakes.
This talk will illustrate how Deutsche Telekom follows this segmentation approach to make sure every individual use case drives architecture design and technology selection.
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