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.
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