#138 Getting Started with Data Mesh by Collaborating with the Business - Interview w/ Darshana Thakker

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.Darshana's LinkedIn: https://www.linkedin.com/in/darshana-thakker/In this episode, Scott interviewed Darshana Thakker, Architecture Director at BCG Platinion.Some key takeaways/thoughts from Darshana's point of view:Data can be the enabler to achieving your business goals but only if you actually tie your data work to your business strategy and goals.Speaking data jargon when talking to the business stakeholders makes it hard to actually communicate. Focus on speaking to business outcomes and business value.When selecting your first use case(s) for data mesh, evaluate domains on four different metrics: business value, capabilities, eagerness, and feasibility. There isn't a golden formula but it's likely some domains/use cases will rise to the top pretty quickly. Look to - as best as you can - quantify the incremental business value from something like data mesh. That can be at the micro level - the single use case - or the macro level. But getting specific instead of "let's be data-driven" will lead to better buy-in and partnering with the business side.You need to prepare to evolve your architecture. You can't have things set in stone. But you also can't just throw things against the wall and see what sticks. You need a balance between overly rigid and overly flexible.If your centralized data function isn't a bottleneck, isn't the cause of your data challenges, data mesh probably isn't right for your organization - or at least it doesn't directly address your challenges. Time between identifying useful data and making it reliably available is a good place to look to measure if the centralized team is your bottleneck.A good buy-in driving...

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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