Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications - Studies in Big Data - Hiroshi Ishikawa - Books - Springer International Publishing AG - 9783031435393 - February 2, 2024
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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications - Studies in Big Data 2024 edition

Hiroshi Ishikawa

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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications - Studies in Big Data 2024 edition

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.

372 pages, 125 Illustrations, color; 52 Illustrations, black and white; XII, 372 p. 177 illus., 125

Media Books     Hardcover Book   (Book with hard spine and cover)
Released February 2, 2024
ISBN13 9783031435393
Publishers Springer International Publishing AG
Pages 372
Dimensions 771 g
Language German  
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