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Springer
Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications
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This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data application
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