Perhaps people wouldn't think that data analytics company focusing on vaccines and epidemiology

would be looking at the size of poultry farms, but that's another data set that we can

bring in to help understand the risk.

Big data. Yep. It's become a bit of a buzzword over the last few years,

hasn't it? And it can mean a lot of different things pending on who you ask. In essence,

though, it's taking a lot of information and using it to find insights that you didn't know

were there before. And where there's insights, there's

value. Sounds pretty simple, right? Well, not exactly. Because collecting a whole load of

information is one thing. Finding use for it, or at least using it, well, that's a different thing

altogether. And with humanity generating

2.5 quintillion bytes of data per day, I promise that's a real number, and growing, knowing where

to look for the juicy bits takes skill. So, that's what we're going to be looking at today.

We're going to be lifting the lid on big data, chucking in some finely chopped information,

seasoning it with some expert opinion, and hoping a delightful, insightful stew comes out the other end.

Thank you. the other end. You're listening to Technology Untangled, a show which looks at the rapid evolution of technology and unravels the way it's changing our world.

I'm your host, Michael Bird.

Big data is big business.

Between 2018 and 2022, the global big data and business analytics market grew from $169 billion

to a predicted $274 billion. What qualifies as big data in the simplest terms has grown too.

In 1999, a one-gigabyte dataset would have been considered big data.

Nowadays, datasets can run into petabytes or even exabytes spread across multiple sources and formats.

But it's not just about how big your database is, it's what you do with it that counts.

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