From the course: Big Data in the Age of AI
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Data science without big data
From the course: Big Data in the Age of AI
Data science without big data
- [Instructor] Elsewhere, I introduced you to the three-part definition of data science that revolves on coding and quantitative abilities and context. And while data science has been strongly associated with big data, it's still possible to do data science projects without involving all of the elements of big data. So, for example, you can use data science on projects that have volume without velocity or variety, so for instance, a very large and static data set with a consistent format. Genetic data's going to fall into that category, or maybe something in data mining or predictive analytics. You may be trying to predict a single outcome like whether a person will click on an ad on a webpage. In this case, the data set might have thousands of variables and billions of cases, but all of it's in a consistent format. The size is a challenge, but otherwise, it's a relatively, at least in theory, straightforward analysis.…
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