Hi Dave,
The Samoa piece is a bit tricky, the goal essentially is to take their storm
components and enhance them to work within the heron storm subcomponent and
eventually with heron streamlet architecture. We chose Samoa because they have
already built several machine learning topologies
Sent from my iPhone
> On Jun 8, 2018, at 5:08 PM, Ning Wang wrote:
>
> Brief notes for today's meeting:
>
> - Review DD:
> https://docs.google.com/document/d/1LrO7XRcMxJoMM83wjRd-Ov74VAaomA_mXOAhCStgGng/edit
The document says copying Samoa. Heron should be working with the Samoa team
and
Brief notes for today's meeting:
- Review DD:
https://docs.google.com/document/d/1LrO7XRcMxJoMM83wjRd-Ov74VAaomA_mXOAhCStgGng/edit
- We want to understand better about the bigger picture of ML in stream
processing systems.
-- talk to ML users
-- doc of related systems to read:
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