From the course: Big Data in the Age of AI
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Ten ways big data is different from small data
From the course: Big Data in the Age of AI
Ten ways big data is different from small data
- [Instructor] Big data isn't just a supersized version of small data. It's qualitatively different in a number of ways that actually matter to what you're doing. In the book, Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information, Jules Berman outlines 10 ways, maybe you could say they're the top 10, that big data is different from small data, and I want to walk you through those. First, they differ in their goals. For small data, the goal is usually a specific, singular goal. We're trying to accomplish this one task by analyzing the data. On the other hand, with big data, the goals evolve and they can redirect over time. You may have one when you start, but things can take unexpected directions. Second is location. Small data is usually in one place and often, in one computer file or one floppy disk. But big data is much larger because it is big, and the data may be spread across multiple…
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