#157 Getting Practical with Data Privacy - Interview w/ Katharine Jarmul AKA K-Jams

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Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.Katharine's LinkedIn: https://www.linkedin.com/in/katharinejarmul/Practical Data Privacy (Katharine's book in early release): https://www.oreilly.com/library/view/practical-data-privacy/9781098129453/Katharine's newsletter: https://probablyprivate.com/'Privacy-first data via data mesh' article by Katharine: https://www.thoughtworks.com/insights/articles/privacy-first-data-via-data-meshdanah boyd [sic] website: https://www.danah.org/In this episode, Scott interviewed Katharine Jarmul AKA K-Jams, Principal Data Scientist at Thoughtworks.Some key takeaways/thoughts from Katharine's point of view:Increasing privacy around data does NOT mean you have to give up value.Instead of data privacy being a blocker, it can turn nos to yeses because there is a better ability to restrict illegal/unethical use. Regulatory and legal people want to say yes, so give them the ability to do so.There are lots of tools available to enhance your data privacy now. This isn't a pipe dream. That said, don't look to replace person-to-person conversations and decisions with tech. You'll learn when to use what on your journey, it's okay to iterate :)Empower the people who know the data best with privacy tooling....