You can simply use the link here <a href="https://www.google.com/url?q=https://us06web.zoom.us/j/87380091930?pwd%3DNVhUS3ZDOS9hSFFBbU1sQm9HQUJHZz09&sa=D&source=calendar&usd=2&usg=AOvVaw1j1q2IO6qlUtMI0MT56ILQ" rel="noopener noreferrer" target="_blank">https://us06web.zoom.us/j/87380091930?pwd=NVhUS3ZDOS9hSFFBbU1sQm9HQUJHZz09</a> or find a link on LinkedIn events: <a href="https://www.linkedin.com/events/weeklydatameshopenroundtable-da7091373106551734272/comments/" rel="noopener noreferrer" target="_blank">https://www.linkedin.com/events/weeklydatameshopenroundtable-da7091373106551734272/comments/</a>Link to past recordings playlist: <a href="https://www.youtube.com/playlist?list=PL9tZROTS_Pi7TjjhLR-sCtwQVeth6Jv7e" rel="noopener noreferrer" target="_blank">https://www.youtube.com/playlist?list=PL9tZROTS_Pi7TjjhLR-sCtwQVeth6Jv7e</a>

You can simply use the link here https://us06web.zoom.us/j/87380091930?pwd=NVhUS3ZDOS9hSFFBbU1sQm9HQUJHZz09 or find a link on LinkedIn events: https://www.linkedin.com/events/weeklydatameshopenroundtable-da7091373106551734272/comments/ Link to past recordings playlist: https://www.youtube.com/playlist?list=PL9tZROTS_Pi7TjjhLR-sCtwQVeth6Jv7e

You can simply use the link here <a href="https://www.google.com/url?q=https://us06web.zoom.us/j/87380091930?pwd%3DNVhUS3ZDOS9hSFFBbU1sQm9HQUJHZz09&amp;sa=D&amp;source=calendar&amp;usd=2&amp;usg=AOvVaw1j1q2IO6qlUtMI0MT56ILQ" rel="noopener noreferrer">https://us06web.zoom.us/j/87380091930?pwd=NVhUS3ZDOS9hSFFBbU1sQm9HQUJHZz09</a> or find a link on LinkedIn events: <a href="https://www.linkedin.com/events/weeklydatameshopenroundtable-da7091373106551734272/comments/" rel="noopener noreferrer">https://www.linkedin.com/events/weeklydatameshopenroundtable-da7091373106551734272/comments/</a>Link to past recordings playlist: <a href="https://www.youtube.com/playlist?list=PL9tZROTS_Pi7TjjhLR-sCtwQVeth6Jv7e" rel="noopener noreferrer">https://www.youtube.com/playlist?list=PL9tZROTS_Pi7TjjhLR-sCtwQVeth6Jv7e</a>

Weekly Data Mesh Roundtables - Join Us!

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

News

Technology

Education

Tech News

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

Share Weekly Data Mesh Roundtables - Join Us!

Sign up to save your podcasts

Weekly Data Mesh Roundtables - Join Us!

Weekly Data Mesh Roundtables - Join Us!