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Big Data Infrastructure Technologies for Data Analytics

Scaling Data Science Applications for Continuous Growth

Language EnglishEnglish
Book Hardback
Book Big Data Infrastructure Technologies for Data Analytics Yuri Demchenko
Libristo code: 46550075
Publishers Springer, Berlin, November 2023
This book provides a comprehensive overview and introduction to Big Data Infrastructure technologies... Full description
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This book provides a comprehensive overview and introduction to Big Data Infrastructure technologies, existing cloud-based platforms, and tools for Big Data processing and data analytics, combining both a conceptual approach in architecture design and a practical approach in technology selection and project implementation.

Readers will learn the core functionality of major Big Data Infrastructure components and how they integrate to form a coherent solution with business benefits. Specific attention will be given to understanding and using the major Big Data platform Apache Hadoop ecosystem, its main functional components MapReduce, HBase, Hive, Pig, Spark and streaming analytics.   The book includes topics related to enterprise and research data management and governance and explains modern approaches to cloud and Big Data security and compliance.

The book covers two knowledge areas defined in the EDISON Data Science Framework (EDSF): Data Science Engineering and Data Management and Governance and can be used as a textbook for university courses or provide a basis for practitioners for further self-study and practical use of Big Data technologies and competent evaluation and implementation of practical projects in their organizations.

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About the book

Full name Big Data Infrastructure Technologies for Data Analytics
Language English
Binding Book - Hardback
Date of issue 2024
Number of pages 546
EAN 9783031693656
Libristo code 46550075
Publishers Springer, Berlin
Weight 941
Dimensions 155 x 235
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