From the course: Twelve Myths About Data Science
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Big data is cheap
- [Narrator] Now let's think about cost of big data and the myth that big data is, for some reason, cheap. If we look at the deployment models and we think about how we can actually deploy Hadoop system and Hadoop is, again, just one of the most popular big data platforms. And that's why I'm using it here. It's the oldest and we have the most data about it. The on premise installation option is one where you actually physically, stand this up in your data-center. If you're doing it right and you want the system to be reliable, in case of a failure of your data center, maybe there was an earthquake or flood or something like that, you're going to want to replicate that data into multiple data centers. So at the minimum, you're talking a number of servers in your cluster, maybe 12 or more. Really just to get the base level. And each server, let's say it costs $40,000, which is a fair price for a server, then you're already looking at 200 grand before licensing fees, implementation…
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Big data will instantly yield great insights1m 50s
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Big data will make analytics easier1m 29s
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Big data will be easy to set up3m 43s
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Big data will replace my relational databases2m 33s
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Big data is one thing3m 36s
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Big data is cheap3m 29s
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Big data systems are fast3m 47s
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Big data is the IT team's job2m 14s
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My dev team shouldn't care about big data2m 6s
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Big data can be handled by data scientists3m 4s
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Big data will eliminate the need for X2m 48s
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Big data is necessary3m 52s
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