#147 Mapping Out Your Data Product Suite - Building Your Roadmap to Maximizing Business Value - Interview w/ Gunjan Aggarwal

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.Gunjan's LinkedIn: https://www.linkedin.com/in/gunjanaggarwal/Gunjan's Medium: https://gunjan-aggarwal.medium.com/In this episode, Scott interviewed Gunjan Aggarwal, Head, Digital Data Products and MarTech Strategy at Novartis. To be clear, she was only representing her own views on the episode.Some key takeaways/thoughts from Gunjan's point of view:Set your overall data product strategy - for when you are in stage 2, going wider with data mesh - earlier in your journey than many may think. It's easy to focus only on use cases instead of the bigger picture.Make sure to align early on who owns what - what are the clear boundaries between roles. Otherwise, with the amount of change data mesh drives, there will likely be unnecessary chaos. Get specific.Don't fall to the 'Data Field of Dreams' - "if you build it, they will come." Focus on building to actual problem statements. Involve people early, make them accountable, give them skin in the game and they will care."The more you ask why, the more clarity you will get." Really dig in deep into the reasoning for creating new data products or ARDs (analytics ready datasets). If we have this data product, what will it unlock for us?It's crucial to avoid the trap of building data products specifically to use cases. You must have the bigger picture in mind and focus on reusability instead of only solving one set of challenges. Can you extend an existing data product?Data people should have domain knowledge where possible. That way, they can push back on requirements that don't make economic sense, that don't...

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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