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17min chapter
171: Machine Learning Pipelines Are Still Data Pipelines with Sandy Ryza of Dagster
The Data Stack Show
Orchestrating ML and Data Processing Pipelines
This chapter explores different orchestrators in the ML and data processing world, their differences, and their impact on the data pipeline ecosystem. The importance of a unified orchestration framework and the challenges of having multiple tools are discussed. The comparison between orchestrating ML work and orchestrating data engineering or analytical work is also highlighted.
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