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5 Reasons to Move Big Data to the Cloud

More Posted time:Mar 14, 2019 22:47 PM

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1st Reply#
Posted time:Mar 9, 2020 22:56 PM
There is nothing specific about big data problems that makes the cloud particularly attractive. If I was exclusively working on an isolated big data project I could solve it just fine on premises or in the cloud. Really all one needs is lots of compute and storage. Because big data is always big the elastic nature of storage is not that important. Elastic compute is not really important unless you only use your data a few days out of the month. Then it really only matters if you are pinching pennies.
It is also much easier to get more out of non virtualized hardware than cloud hardware. That of course implies one has the staff with experience to do that. Managing a big data problem without talented engineering staff is a much bigger mistake than picking cloud hosting provider or on site.
Using the cloud as a primary solution for hardware staffing problems is an “ok” lazy solution for leadership that lacks depth. That is a different problem than having big data.
Now there are all sorts of services and platforms that are adjacent to big data that one could leverage the clouds ephemeral and elastic characteristics. For instance ephemeral self service data marts is much easier to provide in the cloud. Same with self service ephemeral data science edge nodes. Elastic compute on visualization tools can also be attractive. I could think of many more.
If one is interested in the buying someone else’s solutions it is also easier to live in the cloud.
Note: I only want to live in the cloud. Just not because of big data.

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2nd Reply#
Posted time:Mar 11, 2020 16:21 PM
They can do a lot of the blog posts, because reasons  to do are not in shortage.

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3rd Reply#
Posted time:Jun 13, 2020 0:34 AM
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Posted time:Jul 8, 2020 16:16 PM
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