#81 Finding Useful and Repeatable Patterns for Data - Interview w/ Shane Gibson

https://www.patreon.com/datameshradio (Data Mesh Radio Patreon) - get access to interviews well before they are released Episode list and links to all available episode transcripts (most interviews from #32 on) https://docs.google.com/spreadsheets/d/1ZmCIinVgIm0xjIVFpL9jMtCiOlBQ7LbvLmtmb0FKcQc/edit?usp=sharing (here) Provided as a free resource by DataStax https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio (AstraDB) Transcript for this episode (https://docs.google.com/document/d/1AbcwrOmp5rbB1BFtQjpHZXj03ei-ur3ibgcY9G2DvEQ/edit?usp=sharing (link)) provided by Starburst. See their Data Mesh Summit recordings https://www.starburst.io/learn/events-webinars/datanova-on-demand/?datameshradio (here) and their great data mesh resource center https://www.starburst.io/info/distributed-data-mesh-resource-center/?datameshradio (here) In this episode, Scott interviewed Shane Gibson, CPO/Co-Founder of AgileData.io and Agile Data Coach. A few takeaways from Shane to start: - Agile methodology is about finding patterns that might work, trying them out and deciding to iterate or toss out the pattern. It's going to be hard to directly apply software engineering patterns to data but we should look for inspiration there and then tweak them. - Any time you look at a pattern you might want to adopt or evaluate if a pattern is working for you, ask yourself: will this/does this empower the team to work more effectively? - Applying patterns is a bit of a squishy business. Get comfortable that you won't be able to exactly measure if something is working. But also have an end goal in mind for adopting a pattern - what are you trying to achieve and is this pattern likely to help you achieve that? - Share your patterns to not only help others but to get feedback and maybe ideas to iterate your pattern further. Shane's last 8 years have been about taking Agile practices and patterns and applying them to data as an Agile Data Coach. And those patterns required a lot of tweaks to make them work for data. A big