- Paperback: 163 pages
- Format: epub
- Dimension: 2.70 MB
- Writer: O’Reilly Media; 1 version (April 28, 2020)
- Language: English
- ISBN-10: 1492053430
- ISBN-13: 978-1492053439
How are you going to use information in a approach that protects particular person privateness, however nonetheless ensures that information analytics can be helpful and significant? With this sensible e book, information architects and engineers will learn to implement and deploy anonymization options inside an information assortment pipeline. You’ll set up and combine safe, repeatable anonymization processes into your information flows and analytics in a sustainable method. Luk Arbuckle and Khaled El Emam from Privateness Analytics discover end-to-end options for anonymizing information, based mostly on information assortment fashions and use instances enabled by actual enterprise wants. These examples come from among the most demanding information environments, utilizing approaches which have stood the check of time.
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