Rerelease of #52 Data Mesh Data Governance: Getting Out of Your Own Way - Interview w/ Sarita Bakst

This is a rerelease of a previous episode as we are on a hiatus related to Scott's recent health issues. This is a very important episode for many reasons so please do check it out again :)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.Data Mesh Learning Meetup Presentation: https://www.youtube.com/watch?v=7iazNKG8XQoSarita's LinkedIn: https://www.linkedin.com/in/saritabakst/In this episode, Scott interviewed Sarita Bakst, Managing Director and a leader in Firm-wide Data Management at JP Morgan Chase. Sarita was previously on a Data Mesh Learning meetup and is helping lead the firm's data mesh governance charge.Per Sarita, historically, data governance has meant controls and gatekeeping to most people - typically getting in way of innovation. So there needs to be a focus on changing that narrative, not just through words but actions to show it's not the case. In data mesh, you need to ensure that domains can make good decisions on governance and seek out subject matter experts when it makes sense. Sarita covered that one of the key issues in the way governance has been done is the people making decisions - the central governance team - don't have the real understanding of the data. When those decisions are put in the hands of the people who really know the data, but with guardrails and guidance, the fear is lifted about can we actually use this data and how. This opens up lots of new opportunities to leverage your data.Sarita strongly recommends starting with purpose-built data products. Find a use case and build data products to serve that specific. And data products MUST be about unlocking business value. You don't need to serve up all of a domain's data on day one, in version one of that domain's first data product - make it extendible and reusable so you can find additional consumers and expand over time.Get out of your own way on data governance in data mesh. You are going to learn and your approach will evolve as you learn. It's okay to not know everything upfront, set yourself up to not get in trouble - put the proper guardrails in place - but you won't know everything. Think of designing your risk controls as toll-gates and make sure...

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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