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ML platform teams, features stores, versioning in data pipelines, and where MLOps extends DevOps with Aurimas Griciūnas and Piotr Niedźwiedź
Subscribe to our YouTube channel to watch this episode!
Learn more about Aurimas Griciūnas and Piotr Niedzwiedz:
Episode Resources:
If you enjoyed this episode then please either:
Register for the new live eventBrought to you by neptune.ai
Learn more about Aurimas Griciūnas and Piotr Niedzwiedz:
- Aurimas's LinkedIn
- Piotr's LinkedIn
Episode Resources:
- neptune.ai Website
- SwirlAI Website
- Qflow
- Kafka
- Cassandra
- Airflow
- Kubernetes
- Swirl AI newsletter
- neptune.ai blog
- Designing Machine Learning Systems by Chip Huyen
- Fundamentals of Data Engineering by Joe Reis, Matt Housley
If you enjoyed this episode then please either:
- Subscribe, rate, and review on Apple Podcasts
- Follow on Spotify
- RSS Feed
Register for the new live eventBrought to you by neptune.ai
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By neptune.ai
5
22 ratings
Subscribe to our YouTube channel to watch this episode!
Learn more about Aurimas Griciūnas and Piotr Niedzwiedz:
Episode Resources:
If you enjoyed this episode then please either:
Register for the new live eventBrought to you by neptune.ai
Learn more about Aurimas Griciūnas and Piotr Niedzwiedz:
- Aurimas's LinkedIn
- Piotr's LinkedIn
Episode Resources:
- neptune.ai Website
- SwirlAI Website
- Qflow
- Kafka
- Cassandra
- Airflow
- Kubernetes
- Swirl AI newsletter
- neptune.ai blog
- Designing Machine Learning Systems by Chip Huyen
- Fundamentals of Data Engineering by Joe Reis, Matt Housley
If you enjoyed this episode then please either:
- Subscribe, rate, and review on Apple Podcasts
- Follow on Spotify
- RSS Feed
Register for the new live eventBrought to you by neptune.ai