Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
paperback. Condizione: Very Good. Paperback--excellent condition.
Condizione: New.
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 33,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
EUR 37,56
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. How can you use data in a way that protects individual privacy, but still ensures that data analytics will be useful and meaningful? With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You'll establish and integrate secure, repeatable anonymization processes into your data flows and analytics in a sustainable manner.Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing data, based on data collection models and use cases enabled by real business needs. These examples come from some of the most demanding data environments, using approaches that have stood the test of time.
Condizione: As New. Unread book in perfect condition.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Building an Anonymization Pipeline: Creating Safe Data. Book.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 35,79
Quantità: 1 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 41,65
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 44,31
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. How can you use data in a way that protects individual privacy, but still ensures that data analytics will be useful and meaningful? With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You'll establish and integrate secure, repeatable anonymization processes into your data flows and analytics in a sustainable manner.Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing data, based on data collection models and use cases enabled by real business needs. These examples come from some of the most demanding data environments, using approaches that have stood the test of time.
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 42,92
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 35,78
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 41,36
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 44,73
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 52,54
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 148 pages. 9.00x7.00x0.75 inches. In Stock.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 62,33
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2020. Paperback. . . . . .
EUR 39,15
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. How can you use data in a way that protects individual privacy, but still ensures that data analytics will be useful and meaningful? With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You'll establish and integrate secure, repeatable anonymization processes into your data flows and analytics in a sustainable manner.Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing data, based on data collection models and use cases enabled by real business needs. These examples come from some of the most demanding data environments, using approaches that have stood the test of time.
Condizione: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
EUR 42,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You ll establish and integrate secure, repeatable anonymization processes into your data flows and anal.
EUR 40,57
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. How can you use data in a way that protects individual privacy, but still ensures that data analytics will be useful and meaningful? With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You'll establish and integrate secure, repeatable anonymization processes into your data flows and analytics in a sustainable manner.Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing data, based on data collection models and use cases enabled by real business needs. These examples come from some of the most demanding data environments, using approaches that have stood the test of time.
EUR 55,66
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics With this practical book, data architects and engineers will learn how to establish and integrate secure, repeatable anonymization processes into their data flows and analytics in a sustainable manner.