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portada Hypothesis Generation and Interpretation. Design Principles and Patterns for Big Data Applications
Type
Physical Book
Publisher
Author
Collection
Studies in Big Data
Year
2025
Pages
372
Format
Paperback
Dimensions
23.5x15.5 cm
ISBN13
9783031435423

Hypothesis Generation and Interpretation. Design Principles and Patterns for Big Data Applications

Hiroshi Ishikawa (Author) · Springer International Publishing AG · Paperback

Hypothesis Generation and Interpretation. Design Principles and Patterns for Big Data Applications - Hiroshi Ishikawa

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Synopsis "Hypothesis Generation and Interpretation. Design Principles and Patterns for Big Data Applications"

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.

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The binding of this edition is Paperback.

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