Practical Data Privacy • Katharine Jarmul & Alyona Galyeva • GOTO 2023

This interview was recorded for the GOTO Book Club. #GOTOcon #GOTObookclub http://gotopia.tech/bookclub Read the full transcription of the interview here: https://gotopia.tech/episodes/277 Katharine Jarmul - Principal Data Scientist at Thoughtworks & Author of "Practical Data Privacy" @thoughtworks Alyona Galyeva - Principal MLOps & Data Engineer at Thoughtworks RESOURCES Katharine https://twitter.com/kjam https://linkedin.com/in/katharinejarmul https://kjamistan.com https://probablyprivate.com Alyona https://github.com/alyonagalyeva https://www.linkedin.com/in/alyonagalyeva DESCRIPTION Integrating privacy-enhancing technologies into software applications is an imperative step for safeguarding user data and adhering to regulatory requirements in the realm of software development. However, prior to implementation, it is vital for development teams to grasp the potential pitfalls associated with incorporating privacy technology. They must also appreciate the significance of iterative processes and the necessity of collaborative efforts to ensure compliance. Furthermore, achieving the delicate equilibrium between privacy and utility is of paramount importance. Organizations must meticulously fine-tune privacy settings, tailoring them to suit specific use cases. Additionally, alongside this core evaluation criterion, considerations such as speed and computational efficiency may enter the equation, demanding expertise in privacy engineering for successful implementation at scale. Katharine Jarmul, the author of "Practical Data Privacy," spoke to Alyona Galyeva from PyLadies Amsterdam, during which she unveiled a slew of open-source libraries and practical examples for implementing privacy technology. Katharine also explored how developers can proactively guarantee that their data science projects prioritize security by design and uphold privacy by default. The interview is based on the book "Practical Data Privacy": https://amzn.to/46XPrns TIMECODES 00:00 Intro 00:45 Behind the scenes of "Practical Data Privacy" 02:38 The need for demystifying privacy engineering 07:40 Tuning data protection with differential privacy 14:08 Structuring the privacy process 21:25 Differential privacy applied 32:22 Vector of attack in differential privacy 37:44 Outro RECOMMENDED BOOKS Katharine Jarmul • Practical Data Privacy • https://amzn.to/46XPrns Katharine Jarmul & Jacqueline Kazil • Data Wrangling with Python • https://amzn.to/49lzB7E Katharine Jarmul & Richard Lawson • Python Web Scraping • https://amzn.to/49utjm9 Yehonathan Sharvit • Data-Oriented Programming • https://amzn.to/3FvrOGF Zhamak Dehghani • Data Mesh • https://amzn.to/3tTCwAC Eberhard Wolff & Hanna Prinz • Service Mesh • https://leanpub.com/service-mesh-primer Piethein Strengholt • Data Management at Scale • https://amzn.to/3tya08H Martin Kleppmann • Designing Data-Intensive Applications • https://amzn.to/3mk2Roj https://twitter.com/GOTOcon https://www.linkedin.com/company/goto- https://www.instagram.com/goto_con https://www.facebook.com/GOTOConferences #DataPrivacy #Privacy #PracticalDataPrivacy #Pseudonymization #Anonymization #Security #InfoSec #DevSecOps #Data #PrivacyEngineering #DataProtection #DifferentialPrivacy #VectorOfAttack #SoftwareEngineering #KatharineJarmul #AlyonaGalyeva #BookClub Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily. https://www.youtube.com/user/GotoConferences/?sub_confirmation=1