JongYoon Lim commented on HAMA-983:

Thank you for your feedbace.. And do you think it's better to branch from hama 
for this or have an independent repo(github)?

> Hama runner for DataFlow
> ------------------------
>                 Key: HAMA-983
>                 URL: https://issues.apache.org/jira/browse/HAMA-983
>             Project: Hama
>          Issue Type: Bug
>            Reporter: Edward J. Yoon
>              Labels: gsoc2016
> As you already know, Apache Beam provides unified programming model for both 
> batch and streaming inputs.
> The APIs are generally associated with data filtering and transforming. So 
> we'll need to implement some data processing runner like 
> https://github.com/dapurv5/MapReduce-BSP-Adapter/blob/master/src/main/java/org/apache/hama/mapreduce/examples/WordCount.java
> Also, implementing similarity join can be funny. According to 
> http://www.ruizhang.info/publications/TPDS2015-Heads_Join.pdf, Apache Hama is 
> clearly winner among Apache Hadoop and Apache Spark.
> Since it consists of transformation, aggregation, and partition computations, 
> I think it's possible to implement using Apache Beam APIs.

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