Data Mesh Radio
Podcast autorstwa Data as a Product Podcast Network
Kategorie:
422 Odcinki
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Summer Hiatus Announcement - Back in August
Opublikowany: 3.06.2024 -
#306 Building with People for People - Swisscom's Data Mesh Approach and Learnings - Interview w/ Mirela Navodaru
Opublikowany: 27.05.2024 -
#305 Combining the Technical and Business Perspectives for Data Mesh - Interview w/ Alyona Galyeva
Opublikowany: 20.05.2024 -
#304 Getting Your Data Mesh Journey Moving Forward - Interview w/ Chris Ford and Arne Lapõnin
Opublikowany: 13.05.2024 -
#303 Delivering What Matters - Value - Through Strong Business Collaboration - Interview w/ Saba Ishaq
Opublikowany: 6.05.2024 -
No Episode This Week
Opublikowany: 29.04.2024 -
#302 Finding and Delivering on a Good Initial Data Mesh Use Case - Interview w/ Basten Carmio
Opublikowany: 22.04.2024 -
#301 Learnings From 25+ Years in Data Quality - Interview w/ Olga Maydanchik
Opublikowany: 15.04.2024 -
#300 Panel: How to Treat Your Data Platform as a Product - Led by Michael Toland w/ Sadie Martin, Marta Diaz, and Sean Gustafson
Opublikowany: 8.04.2024 -
#299 Empowering Development with Actionable Data - Interview w/ Carol Assis and Eduardo Santos
Opublikowany: 1.04.2024 -
#298 Effective Partnering With Business Execs - Learnings from Another Data Mesh Journey - Interview w/ Jessika Milhomem
Opublikowany: 25.03.2024 -
#297 Panel: Understanding and Leveraging the Data Value Chain - Led by Marisa Fish w/ Tina Albrecht, Karolina Stosio, and Kinda El Maarry, PhD
Opublikowany: 18.03.2024 -
#296 Patience in Product Thinking in Data - Building to Large-Scale Behavior Change - Interview w/ Darren Wood
Opublikowany: 11.03.2024 -
#295 Data Shouldn't be a Four-Letter Word - Making Data a Forethought - Interview w/ Wendy Turner-Williams
Opublikowany: 4.03.2024 -
#294 Panel: Product Discovery and Data Discoverability in a Data Mesh World - Led by Ecem Biyik w/ Frannie Helforoush, Marta Debska-Barcinska, and Ole Olesen-Bagneux
Opublikowany: 26.02.2024 -
#293 Adapting Product Management to Data - Finding the Customer Pain and the Value - Interview w/ Amritha Arun Babu Mysore
Opublikowany: 19.02.2024 -
#292 Aligning Your Data Transformation to the Business - Interview w/ Nailya Sabirzyanova
Opublikowany: 12.02.2024 -
#291 Panel: Data as a Product in Practice - Led by Jen Tedrow w/ Martina Ivaničová and Xavier Gumara Rigol
Opublikowany: 5.02.2024 -
#290 Applying Platform Engineering Best Practices to Your Mesh Data Platform - Interview w/ Tom De Wolf
Opublikowany: 29.01.2024 -
#289 Building the Right Foundations for Generative AI - Interview w/ May Xu
Opublikowany: 22.01.2024
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