9783031693687 - big data infrastructure technologies for data analytics: scaling data science applications for continuous growth de demchenko, yuri; cuadrado-gallego, juan j.; chertov, oleg; aleksandrova, marharyta (9 resultados)
Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth
Demchenko, Yuri; Cuadrado-Gallego, Juan J.; Chertov, Oleg; Aleksandrova, Marharyta
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Big Data Infrastructure Technologies for Data Analytics | Scaling Data Science Applications for Continuous Growth | Yuri Demchenko (u. a.) | Taschenbuch | xvi | Englisch | 2025 | Springer | EAN 9783031693687 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelber…g, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 arch…itecture 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. 560 pp. Englisch.
Big Data Infrastructure Technologies for Data Analytics
Demchenko, Yuri; Cuadrado-Gallego, Juan J.; Chertov, Oleg; Aleksandrova, Marharyta
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Librería: moluna, Greven, Alemaniamoluna
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EUR 64,33
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth
Demchenko, Yuri; Cuadrado-Gallego, Juan J.; Chertov, Oleg; Aleksandrova, Marharyta
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand.
Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth
Demchenko, Yuri; Cuadrado-Gallego, Juan J.; Chertov, Oleg; Aleksandrova, Marharyta
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 74,89
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 architec…ture 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 560 pp. Englisch.
