From the course: Big Data in the Age of AI

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Edge computing, fog computing, and local computing

Edge computing, fog computing, and local computing

From the course: Big Data in the Age of AI

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Edge computing, fog computing, and local computing

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- [Instructor] Sometimes, when you're thinking about strategy, you get to choose between going for a single big win or maybe many small wins. For example, in baseball, you can go for the glorious home run, or you can play small ball and just focus on getting runners on base and systematically moving them forward. If you're writing novels, you can hope to have a massive bestseller, which is hard, or you can write a dozen books that sell well within a particular niche. And when it comes to helping people, you can engage in a giant, newsworthy, grand gesture, or you can focus on 1,000 small acts of kindness. You have a similar strategic choice in big data. You can either put all of your data and all of your processing hardware in a single massive server farm or other central location. Or you can spread out the work to many, many small processors. In big data, this ladder approach goes by a couple of different names. One is edge computing. And the idea with edge computing is that you have…

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