Building an Anonymization Pipeline PDF
By:Luk Arbuckle,Khaled El Emam
Published on 2020-04-13 by |O'Reilly Media, Inc.|
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. Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing device and IoT data, based on collection models and use cases that address real business needs. These examples come from some of the most demanding data environments, such as healthcare, using approaches that have withstood the test of time. Create anonymization solutions diverse enough to cover a spectrum of use cases Match your solutions to the data you use, the people you share it with, and your analysis goals Build anonymization pipelines around various data collection models to cover different business needs Generate an anonymized version of original data or use an analytics platform to generate anonymized outputs Examine the ethical issues around the use of anonymized data
This Book was ranked at 14 by Google Books for keyword medical computer applications anonymized.
Book ID of Building an Anonymization Pipeline's Books is fZbcDwAAQBAJ, Book which was written byLuk Arbuckle,Khaled El Emamhave ETAG "L9jSx7ZjrgA"
Book which was published by |O'Reilly Media, Inc.| since 2020-04-13 have ISBNs, ISBN 13 Code is 9781492053385 and ISBN 10 Code is 1492053384
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