The Data Stack Show
The PRQL: Does Machine Learning Need Its Own Orchestrator? Featuring Sandy Ryza of Dagster
Jan 2, 2024
Sandy Ryza from Dagster Labs discusses the role of an orchestrator in Data Ops and ML Operations. They also emphasize the need for diverse solutions in the ML operations space.
03:48
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Quick takeaways
- The role of an orchestrator is crucial in machine learning engineering and it plays a significant role in the data lifecycle.
- Data pipelines are relevant to different roles in the field of machine learning and are an important aspect of the data infrastructure.
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Introduction and Overview
In this short bonus episode of the Data Stack show, the host introduces the upcoming show and the guest, Sandy Rizak from Dagster Labs. Sandy briefly explains her background and how she has worked on building data infrastructure and as a data science practitioner. The host expresses interest in discussing the role of an orchestrator in the data lifecycle and the increasing number of solutions available, especially in the ML operations space. Sandy shares her thoughts on the importance of orchestration in machine learning engineering and the relevance of data pipelines to different roles.
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