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...