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From Suneel Marthi <>
Subject Re: [DISCUSS] Mahout Streaming Bindings
Date Fri, 09 Dec 2016 17:13:20 GMT

It doesn't make sense adding support for all of the batch and streaming
engines that are available. We presently have a H2O binding which has never
seen any use and I have long been thinking of trashing out.

It would be more productive utilization of the very limited resource time
by porting the legacy Recommender algorithms to Samsara as opposed to
adding anymore of these streaming/batch frameworks.

I have had folks asking me if we support Akka Streams, Apex etc... but most
folks don't know as to how they are gonna be using it or what is it they
are trying to accomplish.

How many Recommender Systems are out there today that need Streaming?
Amazon doesn't do Realtime streaming recommendations yet.  Lambda
frameworks like Oryx 2.0, Summingbird etc.. support that and Mahout-Spark
should be pluggable as the ML engine into those frameworks.

My 2รง.

On Fri, Dec 9, 2016 at 11:04 AM, Trevor Grant <>

> Wanted to kick off a discussion about if we're ready to start thinking
> about coming up with some bindings for streaming engines.
> Had a question at a meetup tuesday in seattle, and it got me thinking about
> it.
> In my mind they would be a discreet set of Bindings, Flink Streaming
> /Spark Streaming / (Beam?) / etc
> I have some fleeting thoughts, but didn't write any of the bindings and
> have only attempted to grok them in passing.
> Or maybe not something we want to pursue at this time? However, it is
> something I'd be interested in tinkering with on a branch of my own...
> tg
> Trevor Grant
> Data Scientist
> *"Fortunate is he, who is able to know the causes of things."  -Virgil*

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