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Sharing Big Data Safely : Managing Data Security

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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.

Author Ted Dunning, Ellen Friedman
Publisher Shroff Publishers & Distributors Pvt. Ltd.
Language English
Binding Type Paper Back
Main Category Science & Mathematics
Sub Category Computer Science & Application
ISBN13 9789352133482
SKU BK 0176733

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