Data Mesh Radio
En podcast av Data as a Product Podcast Network
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#260 Driving the Big Picture Forward - More on Northern Trust's Data Mesh Implementation - Interview w/ Jimmy Kozlow
Publicerades: 2023-10-16 -
Weekly Episode Summaries and Programming Notes – Week of October 15, 2023
Publicerades: 2023-10-15 -
#259 The Fellowship of the Data Mesh: The Journey to Meshtopia - Mesh Musings 54
Publicerades: 2023-10-13 -
#258 Data Mesh on Hard Mode: Learnings From Airtel's Early Data Mesh Journey - Interview w/ Sid Shah
Publicerades: 2023-10-09 -
Weekly Episode Summaries and Programming Notes – Week of October 8, 2023
Publicerades: 2023-10-08 -
#257 Panel: Doing Data Mesh Data Governance Well - Led by Andrew Sharp w/ Nicola Askham, Kinda El Maarry, PhD, and Jay Como
Publicerades: 2023-10-06 -
#256 How to Drive Towards a Data-Driven Culture with Data Mesh - Interview w/ Amy Edwards
Publicerades: 2023-10-02 -
Weekly Episode Summaries and Programming Notes – Week of October 1, 2023
Publicerades: 2023-10-01 -
#255 Zhamak's Corner 28 - Generative AI and Data Mesh: The Start of a Long Road
Publicerades: 2023-09-29 -
#254 Easing Into a Data Mesh Journey - Ocean Spray's Pre-Data Mesh Preparations - Interview w/ Paul Cavacas
Publicerades: 2023-09-25 -
Weekly Episode Summaries and Programming Notes – Week of September 24, 2023
Publicerades: 2023-09-24 -
#253 Data Mesh Implementation Success Metrics - Data Quality - Mesh Musings 53
Publicerades: 2023-09-22 -
#252 Designing and Building a Better Data Governance Approach - Interview w/ Lauren Maffeo
Publicerades: 2023-09-18 -
Weekly Episode Summaries and Programming Notes – Week of September 17, 2023
Publicerades: 2023-09-17 -
Rerelease of #130 Making the Data Quantum Leap - Starting from the Data Quantum at PayPal - Interview w/ Jean-Georges Perrin (JGP)
Publicerades: 2023-09-15 -
Rerelease of #65 What's a Data Contract Between Friends - Setting Expectations with Data Contracts - Interview w/ Abe Gong
Publicerades: 2023-09-13 -
Rerelease of #48 Overcoming Obstinate Organizational Obstacles in Data Mesh - Interview w/ Scott Hawkins
Publicerades: 2023-09-11 -
Weekly Episode Summaries and Programming Notes – Week of September 10, 2023
Publicerades: 2023-09-10 -
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
Publicerades: 2023-09-08 -
Rerelease of #133 Nitty Gritty From the Deployment Committee: Crucial Learnings on Driving Buy-in and Data Product Discovery - Interview w/ Ammara Gafoor
Publicerades: 2023-09-06
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