Data Mesh Radio
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
Latest episodes
Sep 24, 2023 • 17min
Weekly Episode Summaries and Programming Notes – Week of September 24, 2023
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.If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf
Sep 22, 2023 • 41min
#253 Data Mesh Implementation Success Metrics - Data Quality - Mesh Musings 53
The podcast discusses the importance of measuring data quality and setting up implementation metrics in Data Mesh. It explores the concept of data quality, measuring trust in data quality, and measuring data quality at the implementation level. It emphasizes the significance of trust and the need for data to be both trustworthy and useful for decision-making. The podcast provides insights on metrics such as time to detect and fix issues, compliance with quality SLAs, incident detection and resolution, and the impact of trust on implementation success.
13 snips
Sep 18, 2023 • 60min
#252 Designing and Building a Better Data Governance Approach - Interview w/ Lauren Maffeo
Lauren Maffeo, author of Designing Data Governance from the Ground Up, discusses the challenges and importance of data governance. She emphasizes the need to automate standards and create a data-driven culture. Integrating data governance and automation is crucial for success.
Sep 17, 2023 • 14min
Weekly Episode Summaries and Programming Notes – Week of September 17, 2023
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.If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf
Sep 15, 2023 • 1h 24min
Rerelease of #130 Making the Data Quantum Leap - Starting from the Data Quantum at PayPal - Interview w/ Jean-Georges Perrin (JGP)
Jean-Georges Perrin, partner in weekly data mesh roundtables, discusses the importance of having an early thesis, building momentum, and applying software engineering practices to data. The podcast explores topics such as data governance, data quantum in data products, building analytical APIs, local vs global maximization of value, and the challenges of implementing data mesh.
Sep 13, 2023 • 1h 2min
Rerelease of #65 What's a Data Contract Between Friends - Setting Expectations with Data Contracts - Interview w/ Abe Gong
In this podcast episode, Abe Gong, co-creator of Great Expectations and CEO of Superconductive, discusses the importance of implementing data contracts. Topics include preventive changes in data, effortlessly propagating data system changes, creating and managing data contracts, monitoring data quality, and the challenges in achieving fluidity between data consumers and producers.
4 snips
Sep 11, 2023 • 57min
Rerelease of #48 Overcoming Obstinate Organizational Obstacles in Data Mesh - Interview w/ Scott Hawkins
Scott Hawkins, Principal Data Architect at ITV, discusses organizational challenges in implementing data mesh and strategies for gaining buy-in from domain teams. Topics include implementing data mesh techniques, bringing together domain owners, delivering products efficiently, challenges and integration, overcoming obstacles, and the importance of persistence in data mesh.
Sep 10, 2023 • 32min
Weekly Episode Summaries and Programming Notes – Week of September 10, 2023
The podcast discusses strategies for driving buy-in and aligning incentives for implementing Data Mesh, explores the concept of data contracts and setting expectations, emphasizes the importance of collaboration and expectations in data products, and explores the concept of minimum viable platform and data products in Data Mesh.
7 snips
Sep 8, 2023 • 1h 25min
Rerelease of #150 3 Years in, Data Mesh at eDreams: Small Data Products, Consumer Burden, and Iterating to Success, Oh My! - Interview w/ Carlos Saona
Carlos Saona, Chief Architect at eDreams ODIGEO, shares unique implementation and key learnings from eDreams Odigio's approach to Data Mesh. Topics include iterative development, division of responsibilities between data consumers and producers, implementing DataMesh, defining single entity for customers, benefits of small data products, feedback loops and iteration, and use of streaming and batch processing in data analysis.
Sep 6, 2023 • 1h 19min
Rerelease of #133 Nitty Gritty From the Deployment Committee: Crucial Learnings on Driving Buy-in and Data Product Discovery - Interview w/ Ammara Gafoor
Data expert Ammara Gafoor discusses driving buy-in and data product discovery in data mesh implementation, emphasizing collaboration with business people, addressing challenges faced by IT and business stakeholders, and incentivizing adoption. The importance of metrics and prioritization, building foundational source data products, and understanding manufacturing KPIs are also explored. Challenges of existing 360 solutions, the need for tailored information, and the importance of getting started with data projects are discussed.
