From the course: Executive Guide to Predictive Modeling Strategy at Scale
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Who truly has big data?
From the course: Executive Guide to Predictive Modeling Strategy at Scale
Who truly has big data?
- [Lecturer] We've seen that technical requirements like partitioning and balancing and other factors have a dramatic impact in the amount of data that actually gets to those modeling algorithms. So, who truly has big data, data sets so large that they pose a true scaling problem? Well, remarkably, LinkedIn has over a billion subscribers worldwide. About half login monthly, but nearly one in five log in daily, and there's an average of 20 INmails sent every second for job opportunities. That's a lot of transactional data. Netflix has over a quarter billion subscribers worldwide. Their most recent engagement report reviewed over 18,000 titles and nearly 100 billion hours viewed, and that was over just a six-month period. So clearly, no one's going to question that we're talking about big data here, but let's talk about two somewhat disguised client examples from my own experience. So imagine that I'm having a conversation with a regional healthcare provider, and they were looking at a…
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