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What is Big Data Mindset Shifts Explained about?

Mayer-Schonberger and Cukier discuss three major shifts in mindsets needed for the big data revolution. The first is moving from traditional sampling methods of data analysis to analyzing large amounts or all available data (n=all). While sampling was useful when technical constraints limited data analysis, big data enables analyzing entire datasets. This provides more accurate, granular insights. For example, Google Flu Trends analyzes billions of search queries, not a sample, to better predict flu spread

Author

Ruchit Shrestha

Language

EN