Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data

Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data

by Khaled El Emam (Author), Lucy Mosquera (Author), Richard Hoptroff (Author)

Synopsis

One challenge with big data and other secondary analytics initiatives is getting access to large and diverse data. Secondary analytics allow insights beyond the questions that data initially collected can answer. This practical book introduces techniques for generating synthetic data-fake data generated from real data-that can provide secondary analytics to help you understand customer behaviors, develop new products, or generate new revenue. CTOs, CIOs, and directors of analytics will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps of synthetic data generation from real data sets. Business leaders will examine how synthetic data can help accelerate time to a solution.

$46.64

Save:$14.65 (24%)

Quantity

2 in stock

More Information

Format: Paperback
Pages: 175
Publisher: O′Reilly
Published: 02 Jun 2020

ISBN 10: 1492072745
ISBN 13: 9781492072744