#175 Ethical Data Usage - Informing and Educating Consumers - Interview w/ Esther Tham

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.Esther's LinkedIn: https://www.linkedin.com/in/esthertham/In this episode, Scott interviewed Esther Tham, Experience Designer at Thoughtworks. Scott reached out to talk about data ethics based on a post Esther made on LinkedIn.Some key takeaways/thoughts from Esther's point of view:When designing your UX (user experience), companies should aim for as little friction as possible when signing up or transacting. For an ethical company, that means collecting as little information as possible to still maximize value of the service to the user.Companies: if you don't need it, don't collect it! It isn't ethical but also it increases your attack surface for a data leak and potentially lowers consumer trust.We don't have the proof points of many companies doing the right thing and disclosing potential issues of sharing information with them in an understandable way. But that would likely increase consumer trust. Is that trust worth more than the hassle to a company? We need companies willing to try being more ethical to really know but it's a cost with a very uncertain upside so not too likely.People need to learn that their personal data has value - and risk - associated with it. Don't give it over without thinking about how it might be used/misused. But most people are nowhere near that thought process yet. Right now, most people are only worried at most about getting scammed, not should this company have my data and how might they misuse it.Ethics isn't just about collection or even usage, protection is also crucial. If you can't protect sensitive information, you shouldn't be collecting it.How can we encourage the general population to really care...

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Interviews with data mesh practitioners, deep dives/how-tos, anti-patterns, panels, chats (not debates) with skeptics, "mesh musings", and so much more. Host Scott Hirleman (founder of the Data Mesh Learning Community) shares his learnings - and those of the broader data community - from over a year of deep diving into data mesh. Each episode contains a BLUF - bottom line, up front - so you can quickly absorb a few key takeaways and also decide if an episode will be useful to you - nothing worse than listening for 20+ minutes before figuring out if a podcast episode is going to be interesting and/or incremental ;) Hoping to provide quality transcripts in the future - if you want to help, please reach out! Data Mesh Radio is also looking for guests to share their experience with data mesh! Even if that experience is 'I am confused, let's chat about' some specific topic. Yes, that could be you! You can check out our guest and feedback FAQ, including how to submit your name to be a guest and how to submit feedback - including anonymously if you want - here: https://docs.google.com/document/d/1dDdb1mEhmcYqx3xYAvPuM1FZMuGiCszyY9x8X250KuQ/edit?usp=sharing Data Mesh Radio is committed to diversity and inclusion. This includes in our guests and guest hosts. If you are part of a minoritized group, please see this as an open invitation to being a guest, so please hit the link above. If you are looking for additional useful information on data mesh, we recommend the community resources from Data Mesh Learning. All are vendor independent. https://datameshlearning.com/community/ You should also follow Zhamak Dehghani (founder of the data mesh concept); she posts a lot of great things on LinkedIn and has a wonderful data mesh book through O'Reilly. Plus, she's just a nice person: https://www.linkedin.com/in/zhamak-dehghani/detail/recent-activity/shares/ Data Mesh Radio is provided as a free community resource by DataStax. If you need a database that is easy to scale - read: serverless - but also easy to develop for - many APIs including gRPC, REST, JSON, GraphQL, etc. all of which are OSS under the Stargate project - check out DataStax's AstraDB service :) Built on Apache Cassandra, AstraDB is very performant and oh yeah, is also multi-region/multi-cloud so you can focus on scaling your company, not your database. There's a free forever tier for poking around/home projects and you can also use code DAAP500 for a $500 free credit (apply under payment options): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio