[infinispan-dev] Hadoop and ISPN first and next steps

Vladimir Blagojevic vblagoje at redhat.com
Mon Jun 30 10:47:23 EDT 2014

On 2014-06-26, 10:12 AM, Galder Zamarreño wrote:
> On 23 Jun 2014, at 11:04, Gustavo Fernandes <gustavonalle at gmail.com> wrote:
>> - I read with great interest the Spark paper [9]. Spark provides a DSL with functional language constructs like map, flatMap and filter to process distributed data in memory. In this scenario, Map Reduce is just a special case achieved by chaining functions [10]. As Spark is much more than Map Reduce, and can run many machine learning algorithms efficiently, I was wondering if we should shift attention to Spark rather than focusing too much on Map Reduce. Thoughts?
> I’m not an expert on these topics, but I like the look and the approach of Spark :). The fact that it’s not tight to a single paradigm is particularly interesting, and secondly, the fact that it’s tries to make the most out of functional constructs, which seem to provide more elegant ways of dealing with data.
Gustavo thanks for your email and the references. I like Spark as well! 
I read the Spark paper over the weekend, definitely not an easy digest 
and I will continue to read about this topic but this seems to be the 
direction we should steer ourselves - data analytics platform!

As for Hadoop implementation not sure that it make sense to 
implement/support Hadoop v1.x unless it is super easy and low 
maintenance. How hard would it be to implement YARN?


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