Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio

Highlights from this week’s episode:

• Joshua started his first company at age 15 and then sold two more startups after that (2:15)
• Embracing the open source movement and not reinventing the wheel if you don’t have to (12:15)
• Pulsar seemed built to address Kafka’s weaknesses (17:23)
• Using Redis as a coordinator for federated learning and taking advantage of its portability (23:05)
• The pillars of Pandio and some practical use cases (31:24)
• Feature stores and model versioning (38:23)
• Seeing Pulsar as the future because of the ability to run tens of millions of topics (41:04)

The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

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