Building an Anonymization Pipeline: Creating Safe Data

Building an Anonymization Pipeline: Creating Safe Data

Luk Arbuckle, Khaled El Emam
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NOTE: This version has usable TOC/Bookmarks. However, the actual TOC pages have broken links, so you can only use the TOC/bookmarks sidebar of your PDF reader to navigate the PDF.

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.
Rok:
2020
Wydanie:
1
Wydawnictwo:
O'Reilly Media
Język:
english
Strony:
150
ISBN 10:
1492053430
ISBN 13:
9781492053439
Plik:
PDF, 4.96 MB
IPFS:
CID , CID Blake2b
english, 2020
Ściągnij (pdf, 4.96 MB)
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