Coffee Sessions #77

Data Mesh - The Data Quality Control Mechanism for MLOps?

Scott covers what is a data mesh at a high level for those not familiar. Data mesh is potentially a great win for ML/MLOps as there is very clear guidance on creating useful, clean, well-documented/described, and interoperable data for "unexpected use". So instead of data spelunking being a harrowing task, it can be a very fruitful one. And that one data set that was so awesome? Well, it wasn't a one-off, it's managed as a product with regular refreshes! And there is a LOT more ownership/responsibility on data producers to make sure the downstream doesn't break. Might sound like kumbaya for MLOps (or total BS?) re far cleaner data and fewer upstream breaks so let's discuss the realities and limitations!

Take-aways

What data mesh is (at a high level) Why data mesh matters for ML Why does data mesh matter for MLOps (and how much?)

In this episode

Scott Hirleman

Scott Hirleman

Data Mesh Community Advocate, Data Mesh Radio / DataStax

A self-professed "chaotic (mostly) good character", Scott is focused on helping the data mesh community accelerate towards finding solutions for some of data management's hardest challenges. He founded the Data Mesh Learning community specifically to gather enough people to exchange ideas - much of which is patterned off the MLOps community. He hosts the Data Mesh Radio podcast, where he dives deep into topics related to data mesh to provide the data community with useful perspectives and thoughts on data mesh.

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Demetrios Brinkmann

Demetrios Brinkmann

Host

Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.

Adam Sroka

Adam Sroka

Host

Dr. Adam Sroka, Head of Machine Learning Engineering at Origami Energy, is an experienced data and AI leader helping organizations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up. Adam shares his thoughts and ideas through public speaking, tech community events, on his blog, and in his podcast.