@hadoop.apache.org
*Subject:* Re: The future of MapReduce
It depends... It seems most are evolving from needing lots of data
crunched, to lots of data crunched right now. Most are looking for
*real-time* fraud detection or recommendations, for example, which
MapReduce is not ideal for.
Marco
wrote:
Heard about Google dataflow from last week
On Jul 1, 2014 4:42 PM, Marco Shaw marco.s...@gmail.com wrote:
Interesting timing:
http://java.dzone.com/articles/there-future-mapreduce
Google declared last week that MapReduce was dead more or less, but
there are very few that process
“The Mahout community decided to move its codebase onto modern data processing
systems that offer a richer programming model and more efficient execution than
Hadoop MapReduce.”
Does this mean that learning MapReduce is a waste of time? Is Storm the future
or are both technologies necessary?
It depends... It seems most are evolving from needing lots of data
crunched, to lots of data crunched right now. Most are looking for
*real-time* fraud detection or recommendations, for example, which
MapReduce is not ideal for.
Marco
On Tue, Jul 1, 2014 at 12:00 PM, Adaryl Bob Wakefield, MBA
From your answer, it sounds like you need to be able to do both.
From: Marco Shaw
Sent: Tuesday, July 01, 2014 10:24 AM
To: user
Subject: Re: The future of MapReduce
It depends... It seems most are evolving from needing lots of data crunched,
to lots of data crunched right now. Most
*Subject:* Re: The future of MapReduce
It depends... It seems most are evolving from needing lots of data
crunched, to lots of data crunched right now. Most are looking for
*real-time* fraud detection or recommendations, for example, which
MapReduce is not ideal for.
Marco
On Tue, Jul 1, 2014
Wakefield, MBA
adaryl.wakefi...@hotmail.com wrote:
From your answer, it sounds like you need to be able to do both.
*From:* Marco Shaw marco.s...@gmail.com
*Sent:* Tuesday, July 01, 2014 10:24 AM
*To:* user user@hadoop.apache.org
*Subject:* Re: The future of MapReduce
It depends
not want to
spend hours learning how to write MapReduce jobs.
B.
From: Marco Shaw
Sent: Tuesday, July 01, 2014 3:50 PM
To: user
Subject: Re: The future of MapReduce
Sorry, not sure if that's a question.
Hadoop v1=HDFS+MapReduce
Hadoop v2=HDFS+YARN (+ MapReduce part of the core, but now considered
Interesting timing:
http://java.dzone.com/articles/there-future-mapreduce
Google declared last week that MapReduce was dead more or less, but there
are very few that process data at Google's level.
Makes me wonder what Yahoo has for a tech mix these days...
On Tue, Jul 1, 2014 at 6:01 PM
Heard about Google dataflow from last week
On Jul 1, 2014 4:42 PM, Marco Shaw marco.s...@gmail.com wrote:
Interesting timing:
http://java.dzone.com/articles/there-future-mapreduce
Google declared last week that MapReduce was dead more or less, but
there are very few that process data
10 matches
Mail list logo
