RAM?
And this doesn't even cover how you'd fit 40,000 sticks of RAM together.
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RAM?
And this doesn't even cover how you'd fit 40,000 sticks of RAM together.
Here's an unpopular answer - don't store 10PB of data. Find a way for your startup to work without needlessly having to store insane amounts of data that will likely never be needed.
Try being intentional and smart in front of your data pipeline and purge data that is not useful. Too many times people store data "just in case" and that case never happens years later.
Earlier quoted context omitted.
Agreed - though I feel like every data use comes after the fact. Original software engineers/developpers rarely have the foresight that the data scientists need the information for (at least imho).
To be fair, the data scientists rarely have the foresight to know what the data scientists need the information for. The only time I've seen a data scientist correctly include all the data they needed (but still be wrong) was when they answered "All of it. We need all of the data".
Here's an unpopular answer - don't store 10PB of data. Find a way for your startup to work without needlessly having to store insane amounts of data that will likely never be needed.
In my opinion, knowing what you're planning to do w/the data once it's stored is the important piece to giving you some idea of where to put it.
RAM?
Lol. A stick of 256gb RAM costs ~$3000. 1TB needs 4. 1PB needs 4000. 10PB needs 40,000. So this would be an upfront cost of $120M. And this doesn't even cover how you'd fit 40,000 sticks of RAM together.