A Quote by Hasso Plattner
This is where the world is going: direct access from anywhere to any type of data, whether it's a small piece of data or a small answer but a long algorithm to create that answer. The user doesn't care about this.
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Big data is great when you want to verify and quantify small data - as big data is all about seeking a correlation - small data about seeking the causation.
The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.
Go out and collect data and, instead of having the answer, just look at the data and see if the data tells you anything. When we're allowed to do this with companies, it's almost magical.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
Tape with LTFS has several advantages over the other external storage devices it would typically be compared to. First, tape has been designed from Day 1 to be an offline device and to sit on a shelf. An LTFS-formatted LTO-6 tape can store 2.5 TB of uncompressed data and almost 6 TB with compression. That means many data centers could fit their entire data set into a small FedEx box. With LTFS the sending and receiving data centers no longer need to be running the same application to access the data on the tape.
I'm kind of fascinated by this idea that we can surround ourselves with information: we can just pile up data after data after data and arm ourselves with facts and yet still not be able to answer the questions that we have.
Is there water still on Mars? I don't have a view on that because we don't have good data to answer that question. One of the biggest mistakes you can make if you're a scientist is to think you know the answer, or wish for a certain answer, before you actually have it.
You can harvest any data that you want, on anybody. You can infer any data that you like, and you can use it to manipulate them in any way that you choose. And you can roll out an algorithm that genuinely makes massive differences to people's lives, both good and bad, without any checks and balances.
I like to say I've been working on big data for so long, it used to be small data when I started working on it.
But when I talk to people who are Darwinists or evolutionists and say, 'Well, how did life begin' - they're... they don't have an answer. I mean, they have an answer, but it's a BS answer. It's an answer that wouldn't make sense to a small child.
I don't think anyone can answer whether the Fed is going to have to tighten beyond neutral, ... You have to be looking at the economy going forward and that changes as additional data comes in.
Facebook collects a lot of data from people and admits it. And it also collects data which isn't admitted. And Google does too. As for Microsoft, I don't know. But I do know that Windows has features that send data about the user.
The quantum entered physics with a jolt. It didn't fit anywhere; it made no sense; it contradicted everything we thought we knew about nature. Yet the data seemed to demand it. ... The story of Werner Heisenberg and his science is the story of the desperate failures and ultimate triumphs of the small band of brilliant physicists who-during an incredibly intense period of struggle with the data, the theories, and each other during the 1920s-brought about a revolutionary new understanding of the atomic world known as quantum mechanics.
In the blockchain world, each user can and should own their data, and 'central' players are less vulnerable to data losses and breaches.
Uncontrolled access to data, with no audit trail of activity and no oversight would be going too far. This applies to both commercial and government use of data about people.
Where big data is all about seeking correlations - and thus to make incremental changes - small data is all about causations - seeking to understand the reasons why.
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