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   系統號碼964932
   書刊名Big data infrastructure technologies for data analytics [electronic resource] : scaling data science applications for continuous growth /
   主要著者by Yuri Demchenko ... [et al.].
   其他著者Demchenko, Yuri.
   出版項Cham : Imprint: Springer, 2024.
   索書號QA76.9.B45
   ISBN9783031693663
   標題Big data.
Data Science.
Data Analysis and Big Data.
Software Engineering.
Artificial Intelligence.
Computer and Information Systems Applications.
   電子資源https://doi.org/10.1007/978-3-031-69366-3
   
    
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內容簡介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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