Isbn: 9783110662917 - big data management: data governance principles for big data analytics (22 risultati)

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  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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  • Lingua: Inglese

    Editore: De Gruyter, DE, 2020

    3110662914 / 9783110662917

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    Paperback. Condizione: New. Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.…

  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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  • Lingua: Inglese

    Editore: De Gruyter, 2020

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  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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  • Lingua: Inglese

    Editore: De Gruyter, DE, 2020

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    Paperback. Condizione: New. Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.…

  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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    Paperback. Condizione: Brand New. 240 pages. 9.44x6.69x0.47 inches. In Stock.

  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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  • Lingua: Inglese

    Editore: De Gruyter 2020-11, 2020

    3110662914 / 9783110662917

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  • Lingua: Inglese

    Editore: De Gruyter, 2020

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: De Gruyter, DE, 2020

    3110662914 / 9783110662917

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    Paperback. Condizione: New. Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.…

  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations. …

  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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    Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.

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    Condizione: New. 2020. 1st Edition. perfect. . . . . .

  • Lingua: Inglese

    Editore: De Gruyter, 2020

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    Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world¿s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations. …

  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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    Taschenbuch. Condizione: Neu. Big Data Management | Data Governance Principles for Big Data Analytics | Peter Ghavami | Taschenbuch | XVIII | Englisch | 2020 | De Gruyter | EAN 9783110662917 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: De Gruyter, DE, 2020

    3110662914 / 9783110662917

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    Paperback. Condizione: New. Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.…

  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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    Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore

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    Condizione: New. 2020. 1st Edition. perfect. . . . . . Books ship from the US and Ireland.

  • Lingua: Inglese

    Editore: De Gruyter, De Gruyter Nov 2020, 2020

    3110662914 / 9783110662917

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations. 174 pp. Englisch. …

  • Lingua: Inglese

    Editore: De Gruyter, 2020

    3110662914 / 9783110662917

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    Paperback. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Peter Ghavami, Senior Vice President, Head of Wholesale Data Science & Analytics at Bank of America, USAData analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers bot.…