Building an anonymization pipeline: creating safe data, luk arbuckle, khaled el emam
Описание
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
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