Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 8,72
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EUR 17,92
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EUR 14,81
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Añadir al carritoPaperback. Condición: Very Good. Sharing Big Data Safely: Managing Data Security This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Idioma: Inglés
Publicado por O'Reilly Media 01/b /09 F, 2016
ISBN 10: 1491952121 ISBN 13: 9781491952122
Librería: Bahamut Media, Reading, Reino Unido
EUR 14,81
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Añadir al carritoPaperback. Condición: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 23,30
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Añadir al carritoCondición: New.
EUR 25,61
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Añadir al carritoPaperback. Condición: New. Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away.Ideal for both technical and non-technical decision makers, group leaders, developers, and data scientists, this book shows you how to: Share original data in a controlled way so that different groups within your organization only see part of the whole. You'll learn how to do this with the new open source SQL query engine Apache Drill.Provide synthetic data that emulates the behavior of sensitive data. This approach enables external advisors to work with you on projects involving data that you can't show them.If you're intrigued by the synthetic data solution, explore the log-synth program that Ted Dunning developed as open source code (available on GitHub), along with how-to instructions and tips for best practice. You'll also get a collection of use cases.Providing lock-down security while safely sharing data is a significant challenge for a growing number of organizations.With this book, you'll discover new options to share data safely without sacrificing security.
Idioma: Inglés
Publicado por O'Reilly Media 1/8/2016, 2016
ISBN 10: 1491952121 ISBN 13: 9781491952122
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 25,75
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Sharing Big Data Safely: Managing Data Security. Book.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 27,09
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 21,57
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2016
ISBN 10: 1491952121 ISBN 13: 9781491952122
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 25,46
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 30,48
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Añadir al carritoCondición: New. Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away. Num Pages: 96 pages, colour illustrations. BIC Classification: UN; UR; UTN. Category: (G) General (US: Trade). Dimension: 152 x 231 x 10. Weight in Grams: 156. . 2016. 1st Edition. Paperback. . . . .
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 25,41
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2016
ISBN 10: 1491952121 ISBN 13: 9781491952122
Librería: Revaluation Books, Exeter, Reino Unido
EUR 32,87
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 87 pages. 9.00x6.00x0.25 inches. In Stock.
EUR 36,62
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away. Num Pages: 96 pages, colour illustrations. BIC Classification: UN; UR; UTN. Category: (G) General (US: Trade). Dimension: 152 x 231 x 10. Weight in Grams: 156. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
EUR 25,82
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away.Ideal for both technical and non-technical decision makers, group leaders, developers, and data scientists, this book shows you how to: Share original data in a controlled way so that different groups within your organization only see part of the whole. You'll learn how to do this with the new open source SQL query engine Apache Drill.Provide synthetic data that emulates the behavior of sensitive data. This approach enables external advisors to work with you on projects involving data that you can't show them.If you're intrigued by the synthetic data solution, explore the log-synth program that Ted Dunning developed as open source code (available on GitHub), along with how-to instructions and tips for best practice. You'll also get a collection of use cases.Providing lock-down security while safely sharing data is a significant challenge for a growing number of organizations.With this book, you'll discover new options to share data safely without sacrificing security.
EUR 28,43
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Añadir al carritoKartoniert / Broschiert. Condición: New. Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning an.
Idioma: Inglés
Publicado por O'reilly Media Feb 2016, 2016
ISBN 10: 1491952121 ISBN 13: 9781491952122
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 34,41
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2016
ISBN 10: 1491952121 ISBN 13: 9781491952122
Librería: Revaluation Books, Exeter, Reino Unido
EUR 26,52
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 87 pages. 9.00x6.00x0.25 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2016
ISBN 10: 1491952121 ISBN 13: 9781491952122
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 32,48
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 175.