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Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth - Rilegato
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2024
- ISBN 10 3031693655
- ISBN 13 9783031693656
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine560
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Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth
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Big Data Infrastructure Technologies for Data Analytics
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Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10: 3031693655
ISBN 13: 9783031693656
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Buch. Condizione: 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 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. 550 pp. Englisch. Codice articolo 9783031693656
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Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth
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Big Data Infrastructure Technologies for Data Analytics (Hardcover)
Editore:
Springer International Publishing AG, Cham, 2024
ISBN 10: 3031693655
ISBN 13: 9783031693656
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Hardcover. Condizione: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783031693656
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Big Data Infrastructure Technologies for Data Analytics : Scaling Data Science Applications for Continuous Growth
ISBN 10: 3031693655
ISBN 13: 9783031693656
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: 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. Codice articolo 9783031693656
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Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth
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Big Data Infrastructure Technologies for Data Analytics (Hardcover)
Editore:
Springer International Publishing AG, Cham, 2024
ISBN 10: 3031693655
ISBN 13: 9783031693656
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Da: CitiRetail, Stevenage, Regno Unito
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Hardcover. Condizione: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9783031693656
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Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND. Codice articolo 18402090927
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Big Data Infrastructure Technologies for Data Analytics (Hardcover)
Editore:
Springer International Publishing AG, Cham, 2024
ISBN 10: 3031693655
ISBN 13: 9783031693656
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Hardcover. Condizione: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9783031693656
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Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth
Editore:
Springer-Nature New York Inc, 2024
ISBN 10: 3031693655
ISBN 13: 9783031693656
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Da: Revaluation Books, Exeter, Regno Unito
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Hardcover. Condizione: Brand New. 560 pages. 9.25x6.10x9.21 inches. In Stock. Codice articolo x-3031693655
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