Hiroshi Ishikawa
Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications
Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications
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- More about Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications
Format: Hardback
Length: 372 pages
Publication date: 02 February 2024
Publisher: Springer International Publishing AG
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.
Dimension: 235 x 155 (mm)
ISBN-13: 9783031435393
Edition number: 2024 ed.
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