Data Mesh Radio
Ein Podcast von Data as a Product Podcast Network
422 Folgen
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Weekly Episode Summaries and Programming Notes – Week of November 27, 2022
Vom: 27.11.2022 -
#159 Focusing on the Problems - And Business - at Hand in Your Data Tool Selection Process - Interview w/ Brandon Beidel
Vom: 25.11.2022 -
#158 Zhamak's Corner 10 - Blazing Trails not Blazing Saddles - Setting Yourself Up For Success
Vom: 23.11.2022 -
#157 Getting Practical with Data Privacy - Interview w/ Katharine Jarmul AKA K-Jams
Vom: 21.11.2022 -
Weekly Episode Summaries and Programming Notes – Week of November 20, 2022
Vom: 20.11.2022 -
#156 Zhamak's Corner 9 - A Vision of the Data Product Developer Role in Data Mesh
Vom: 16.11.2022 -
#155 Phase Shifting - Preparing for Data Mesh Adoption Going Wide in Your Org - Mesh Musings 35
Vom: 15.11.2022 -
#154 How Can Data Marketplaces Help Realize the Most Value from Our Data - Interview with Mozhgan Tavakolifard, PhD
Vom: 14.11.2022 -
Weekly Episode Summaries and Programming Notes – Week of November 13, 2022
Vom: 13.11.2022 -
#153 Federated Data Governance Through Changing Minds and Hearts - Interview w/ Mariana Hebborn, PhD
Vom: 11.11.2022 -
#152 Zhamak's Corner 8 - Are We Using Tech Gold as a Paperweight?
Vom: 9.11.2022 -
#151 Driving Interoperability via Taxonomies and Tagging to Power Personalization - Interview w/ Jill Maffeo
Vom: 7.11.2022 -
Weekly Episode Summaries and Programming Notes – Week of November 6, 2022
Vom: 6.11.2022 -
#150 3 Years in, Data Mesh at eDreams: Small Data Products, Consumer Burden, and Iterating to Success, Oh My! - Interview w/ Carlos Saona
Vom: 4.11.2022 -
#149 Data Mesh and Community: The Future? - Mesh Musings 34
Vom: 1.11.2022 -
#148 It's A-Okay to Solve for Today: ANZ Plus's Early Data Mesh Success - Interview w/ Adelle McDonald
Vom: 31.10.2022 -
Weekly Episode Summaries and Programming Notes – Week of October 30, 2022
Vom: 30.10.2022 -
#147 Mapping Out Your Data Product Suite - Building Your Roadmap to Maximizing Business Value - Interview w/ Gunjan Aggarwal
Vom: 28.10.2022 -
#146 False Dichotomies and Baseless Binary Choices - Why We Need New Thought Approaches in Data - Mesh Musings 33
Vom: 25.10.2022 -
#145 From Failwhale to Massive Scale and Beyond: Learnings on Fixing Data Team Bottlenecks - Interview w/ Dmitriy Ryaboy
Vom: 24.10.2022
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