#278 Data Contracts for the Rest of Us - Approaching Contracts in Evolving Companies - Interview w/ Ryan Collingwood

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/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. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Ryan's LinkedIn: https://www.linkedin.com/in/ryancollingwood/In this episode, Scott interviewed Ryan Collingwood, Head of Data and Analytics at OrotonGroup. To be clear, he was only representing his own views on the episode.Some key takeaways/thoughts from Ryan's point of view:Have empathy for yourselves and others in all things you do around data. You won't always get it right the first time. Build the relationships, build the trust to continually drive and iterate towards better.In tech, far too often we hear what people need and provide a poor solution to actually solving their needs. It's focusing on the tech instead of the people.Far too many technical solutions/approaches - e.g. data mesh, data contracts, etc. - are really presented for tech-heavy/forward companies e.g. startups. Most companies, large or small, are not capable to leverage the approaches as presented so they must be adapted for 'the rest of us' companies. Scott note: data mesh is like thisFar too often, these tech approaches focus purely on the tech instead of the people. That's partially because every org has a different culture so you can't cover them all; but if you only follow the approach as presented instead of focus on the people/ways of working in your org, it's far less likely to go well. You've implemented a great technical solution that no wants to or can use.?Controversial?: "What are the trade-offs that I can make, while still being true to the value and the benefits that I want to get out of this?" Scott note: SO important to consider when looking at any technical pattern/approach. What is true to the value of the approach?Data contracts really rely on 3 things: at least two parties, an agreement of some kind that is recorded, and access to data that conforms to that agreement. You can add value building beyond those 3 but you have to start somewhere and you can deliver value with something that only satisfies those 3.?Controversial?: It's hard not to have a sense of imposter syndrome when you actually strip a concept...

Om Podcasten

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