The Data Exchange with Ben Lorica cover image

Orchestration and Pipelines for Data Scientists

The Data Exchange with Ben Lorica

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Distributed Computing at Scale

There are two ways you could go about this at a high level. You can just build on top of frameworks like dask and ray that support this, because those can easily be embedded into an orchist pipe line. And we've seen a lot of requests around making kind of observability and monitoring of the improduction jobs. That's something that's coming up. We're releasing the first a public API to provide a rest api to all the surface area of the features you have in orkesto.

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