AboutTermsPrivacyContact
 
Updating
Data Mesh Radio

Data Mesh Radio

Data as a Product Podcast Network
Released: 2022-02-02
© Copyright 2022 Data as a Product Podcast Network
Data Mesh Radio - QR Code
FreeNew
24 Episodes
Audio
Listen on Apple Podcasts
FreeNew
24 Episodes
Audio
Listen on Apple Podcasts
Released: 2022-02-02
© Copyright 2022 Data as a Product Podcast Network
Most Recent Episode
Food Fights and the Modern Data Stack re Data Mesh - Interview w/ Dr. Colleen Tartow

Food Fights and the Modern Data Stack re Data Mesh - Interview w/ Dr. Colleen Tartow

Time: 1:08:26
Play
Provided as a free resource by DataStax https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio (AstraDB)
Don't forget to catch Colleen at https://starburst.io/info/datanova2022?utm_source=DataMeshRadio (Datanova - the Data Mesh Summit on Feb 9-10th). Thanks to Starburst for sponsoring the transcripts for Data Mesh Radio, check out the transcript https://docs.google.com/document/d/1-Jd5f79HfIXs_Sl93Z79Sdn-wbgvVe6pE_LMkywOOaw/edit?usp=sharing (here). And check out Starburst's other free data mesh resources https://www.starburst.io/info/data-mesh-resource-center?utm_source=DataMeshRadio (here).
In this episode, Scott interviews Dr. Colleen Tartow, Director of Engineering at Starburst. They chatted about the fun and usefulness of food-related analogies to data mesh - you want it to work like a brunch buffet as that is basically a perfect Saturday in Colleen's eyes. And Scott shared the concept of a grocery store - intentional food preparation with different degrees of ingredient and meal preparedness.
Colleen and Scott then covered the "Modern Data Stack" and its relevance to data mesh - in Colleen's eyes, the Modern Data Stack isn't all that modern, it is just the same old paradigm of data teams trying to do their best to work with the output of application/operational data stores and systems that aren't designed with the data in mind. Scott somewhat agreed with his own spin.
Colleen shared her 4 S paradigm re doing data well: speed, simplicity, scalability, and SQL. Yes, slightly Starburst self-serving (4 more S words!) but still relevant and interesting.
They wrapped up with trying to figure out how much of data mesh can companies get away with not doing, which seems to be the topic on everyone's mind. More questions than answers there...
Colleen's contact info:
Email: colleen at starburst.io
LinkedIn: https://www.linkedin.com/in/colleen-tartow-phd/ (https://www.linkedin.com/in/colleen-tartow-phd/)
Twitter: @CTartow / https://twitter.com/CTartow (https://twitter.com/CTartow)
Colleen's blog: https://thesequel.substack.com/ (https://thesequel.substack.com/)
The Data Buffet blog post: https://thesequel.substack.com/p/the-endless-data-buffet (https://thesequel.substack.com/p/the-endless-data-buffet)
Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him at community at datameshlearning.com or on LinkedIn: https://www.linkedin.com/in/scotthirleman/ (https://www.linkedin.com/in/scotthirleman/)
If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/ (https://datameshlearning.com/community/)
If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see https://docs.google.com/document/d/1WkXLhSH7mnbjfTChD0uuYeIF5Tj0UBLUP4Jvl20Ym10/edit?usp=sharing (here)
Music used this episode created by Lesfm (intro includes slight edits by Scott Hirleman): https://pixabay.com/users/lesfm-22579021/ (https://pixabay.com/users/lesfm-22579021/)
Data Mesh Radio is brought to you as a community resource by DataStax. Check out their high-scale, multi-region database offering (w/ lots of great APIs) and use code DAAP500 for a free $500 credit (apply under "add payment"): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio (AstraDB)
Episode ID: 1000549729462
GUID: 6d4f7f92-74ea-43fa-aa32-3ce1c36f4b40
Release Date: 02/02/2022, 03:15:00

Description

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

Feed URL

https://feeds.captivate.fm/data-mesh-radio/

Apple Podcasts: Customer Reviews

No Entry