Data Mesh Radio
Un pódcast de Data as a Product Podcast Network
Categorías:
422 Episodo
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#85 The Move from Legacy to Leader in Data and Analytics - Interview w/ Immanuel Schweizer
Publicado: 6/6/2022 -
Weekly Episode Summaries and Programming Notes - Week of June 5, 2022 - Data Mesh Radio
Publicado: 5/6/2022 -
#84 Driving to Better Data Outcomes with Collaborative Questions - Interview w/ Jean-Michel Coeur
Publicado: 3/6/2022 -
#83 What is Your Actual Data TCO - Mesh Musings 17
Publicado: 31/5/2022 -
#82 A Better Way to Map Domains? & Searching "For" Data, Not Just "In" Data - Interview w/ Ole Olesen-Bagneux
Publicado: 30/5/2022 -
Weekly Episode Summaries and Programming Notes - Week of May 29, 2022 - Data Mesh Radio
Publicado: 29/5/2022 -
#81 Finding Useful and Repeatable Patterns for Data - Interview w/ Shane Gibson
Publicado: 27/5/2022 -
#80 A Data Mesh Prisoner's Dilemma? - Sharing with the Community - Mesh Musings 16
Publicado: 24/5/2022 -
#79 A Data Success Secret Recipe: Comfort with Ambiguity and Change Management - Interview w/ Vincent Koc
Publicado: 23/5/2022 -
Weekly Episode Summaries and Programming Notes - Week of May 22, 2022 - Data Mesh Radio
Publicado: 22/5/2022 -
#78 Minimum Viable Data Mesh? - Interview w/ Paul Andrew
Publicado: 20/5/2022 -
#77 Why DO Data Warehouse Fans Fear Data Mesh So Much? - Mesh Musings 15
Publicado: 17/5/2022 -
#76 A Skeptic's View of Data Mesh and Learning Your Data Product ABCs - Interview w/ Tim Gasper
Publicado: 16/5/2022 -
Weekly Episode Summaries and Programming Notes - Week of May 15, 2022 - Data Mesh Radio
Publicado: 15/5/2022 -
#75 Let's Get Intentional With Data: DDD for Data, Hyper Objects and More - Interview w/ João Rosa
Publicado: 13/5/2022 -
#74 What is Data Mesh Trying to Achieve? - Mesh Musings 14
Publicado: 11/5/2022 -
#73 Ship-Posting and Cake Recipes: Measuring the Return of Your Data Initiatives - Interview w/ Katie Bauer
Publicado: 10/5/2022 -
#72 Reliability in Data Mesh: Why SLAs and SLOs are Crucial - Interview w/ Emily Gorcenski
Publicado: 9/5/2022 -
Weekly Episode Summaries and Programming Notes - Week of May 8, 2022 - Data Mesh Radio
Publicado: 8/5/2022 -
#71 Adventures in Data Maturity - Creating Reliable, Scalable Data Processes - Interview w/ Ramdas Narayanan
Publicado: 6/5/2022
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