Today, we have a strategy for storing quadrillions of bits: petabytes of data, all stored efficiently on the densest flash available, and able to scale even larger in the future. But now that we’ve established how to store all this data, an equally important topic comes to mind:
How do you find anything in this huge ocean of bits?
In this blog post, we’re going to cover how the industry at large has approached this problem in the past, talk a little bit about the current state of the art, and how Pure’s approach to this mapping problem is uniquely suited to today’s modern data landscape.
From Tablets to Maps to Search Bars: A Brief History
As long as there has been data, people have needed ways to sort, collate, and otherwise organize it so that it can be retrieved quickly. In the ancient past, this might have been writing down numbers on clay tablets, or later, on parchment. Once there was enough to fit on one