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Big Data, Much Information
Unfortunately, it's not that simple. More data does not always lead to more information, i.e. better insights. Big data in reality often obscures the information that we are looking for.
Guide through the data jungle
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 analysing 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 overlooked 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 (repetitive) work task more agreeable allowing to focus on analysis.?
