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Sharing Big Data Safely (Paperback)
Loot Price: R429
Discovery Miles 4 290
You Save: R146
(25%)
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Sharing Big Data Safely (Paperback)
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List price R575
Loot Price R429
Discovery Miles 4 290
You Save R146 (25%)
Expected to ship within 12 - 17 working days
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Many big data-driven companies today are moving to protect certain
types of data against intrusion, leaks, or unauthorized eyes. But
how do you lock down data while granting access to people who need
to see it? In this practical book, authors Ted Dunning and Ellen
Friedman offer two novel and practical solutions that you can
implement right away.Ideal for both technical and non-technical
decision makers, group leaders, developers, and data scientists,
this book shows you how to: Share original data in a controlled way
so that different groups within your organization only see part of
the whole. You'll learn how to do this with the new open source SQL
query engine Apache Drill.Provide synthetic data that emulates the
behavior of sensitive data. This approach enables external advisors
to work with you on projects involving data that you can't show
them.If you're intrigued by the synthetic data solution, explore
the log-synth program that Ted Dunning developed as open source
code (available on GitHub), along with how-to instructions and tips
for best practice. You'll also get a collection of use
cases.Providing lock-down security while safely sharing data is a
significant challenge for a growing number of organizations. With
this book, you'll discover new options to share data safely without
sacrificing security.
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