Hypothesis Generation And Interpretation

Design Principles And Patterns For Big Data Applications

by Hiroshi Ishikawa
language: english
Publisher: Springer International Publishing AG, February of 2025 ‧
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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.

Hypothesis Generation And Interpretation

Design Principles And Patterns For Big Data Applications

by Hiroshi Ishikawa

Property Description
ISBN: 9783031435423
Publisher: Springer International Publishing AG
Release Date: February of 2025
Language: English
Dimensions: 155 x 235 x 20 mm
Cover: Softcover
Pages: 372
Format: Book
Collection: Studies In Big Data
Categories: Books in English > Computing > Operating Systems and Networks
EAN: 9783031435423

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