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Big Data, Big Information
Of course, it's not that simple. More data does not always lead to big information, i.e. better insights. Big data can actually obscure the information that you would like to have.
How to deal with the Problem
Data Engineering, Data Management, Data Science
While I deal with both data science and data engineering, my focus is usually on the latter: The practice of designing and building systems for collecting, storing, and analyzing data. It starts with the definition of the data you'll need for a specific problem, ensuring its accuracy and integrity - which is probably the most overlook aspect of data science/data engineering. I'm not focused on technologies, but on defining and implementing processes with as much automation as needed to make the (repititive) work task more agreeable. How?
