Hi Sean, Me too. I am pleased Amazon has taken this initiative...running Mahout/Hadoop/MapReduce in EC2 and having numerous working examples as a service where data is stored in S3 is really only the first step to some extraordinary future applications. I did a bit of blogging about this and there was an interesting followup comment:
http://www.thecepblog.com/2009/04/02/real-cep-news-amazon-announces-elastic-mapreduce/ Highest regards, Tim On Fri, Apr 3, 2009 at 12:22 PM, Sean Owen <[email protected]> wrote: > I love this. I am going to pursue getting the collaborative filtering > Hadoop jobs set up for this so people can use it easily. Indeed, would > be great to showcase this example. > > Incidentally for anyone that was interested, I did get an Amazon EC2 > image ready that reads an S3 file of data, computes recommendations, > writes the results, and shuts down. That is truly efficient use of > on-demand computing; works nicely. It took some effort to work out how > to manage permissions and so on but think I got a decent solution. > > Anyway I was just preparing to 'launch' this EC2 image as a sort of > commercialized extension of Mahout. Anyone that has an interest in a > little beta-testing, do let me know. > > On Thu, Apr 2, 2009 at 5:24 PM, Tim Bass <[email protected]> wrote: >> Hello Grant, >> >> Here is the link to the (future) page of example applications: >> >> http://developer.amazonwebservices.com/connect/kbcategory.jspa?categoryID=263 >> >> This might be where a future Mahout example app might reside? >> >> Yours sincerely, Tim >> >> On Thu, Apr 2, 2009 at 7:19 PM, Grant Ingersoll <[email protected]> wrote: >>> Yeah, saw this today, too. Very cool. One of these days, I'll have time to >>> use the credits Amazon has donated to Apache and try this out more. I think >>> this furthers the need to make it easy to install Mahout on top of Hadoop in >>> this environment. Scripts for this would be a great donation. >>> >>> On Apr 2, 2009, at 4:28 AM, [email protected] wrote: >>> >>>> FYI. >>>> >>>> ---------- Forwarded message ---------- >>>> From: Amazon Web Services <[email protected]> >>>> Date: Apr 2, 2009 3:23pm >>>> Subject: Announcing Amazon Elastic MapReduce >>>> To: "[email protected]" <[email protected]> >>>> >>>> >>>> >>>> >>>> >>>> >>>> >>>> >>>> >>>>> Dear AWS Customer, >>>> >>>> >>>>> We are excited today to introduce the public beta of Amazon Elastic >>>>> MapReduce, a web service that enables businesses, researchers, data >>>>> analysts, and developers to easily and cost-effectively process vast >>>>> amounts >>>>> of data. It utilizes a hosted Hadoop framework running on the web-scale >>>>> infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon >>>>> Simple Storage Service (Amazon S3). >>>> >>>> >>>>> Using Amazon Elastic MapReduce, you can instantly provision as much or as >>>>> little capacity as you like to perform data-intensive tasks for >>>>> applications >>>>> such as web indexing, data mining, log file analysis, machine learning, >>>>> financial analysis, scientific simulation, and bioinformatics research. >>>>> Amazon Elastic MapReduce lets you focus on crunching or analyzing your >>>>> data >>>>> without having to worry about time-consuming set-up, management or tuning >>>>> of >>>>> Hadoop clusters or the compute capacity upon which they sit. >>>> >>>> >>>>> Working with the service is easy: Develop your processing application >>>>> using our samples or by building your own, upload your data to Amazon S3, >>>>> use the AWS Management Console or APIs to specify the number and type of >>>>> instances you want, and click "Create Job Flow." We do the rest, running >>>>> Hadoop over the number of specified instances, providing progress >>>>> monitoring, and delivering the output to Amazon S3. >>>> >>>> >>>>> We hope this new service will prove a powerful tool for your data >>>>> processing needs. You can sign up and start using the service today at >>>>> aws.amazon.com/elasticmapreduce. >>>> >>>> >>>> >>>>> Sincerely, >>>> >>>> >>>>> The Amazon Web Services Team >>>> >>>> >>>>> We hope you enjoyed receiving this message. If you wish to remove >>>>> yourself from receiving future product announcements or the AWS >>>>> Newsletter, >>>>> please update your communication preferences. >>>> >>>> >>>>> Amazon Web Services LLC is a subsidiary of Amazon.com, Inc. Amazon.com is >>>>> a registered trademark of Amazon.com, Inc. This message produced and >>>>> distributed by Amazon Web Services, LLC, 1200 12th Ave South, Seattle, WA >>>>> 98144. >>>> >>> >>> -------------------------- >>> Grant Ingersoll >>> http://www.lucidimagination.com/ >>> >>> Search the Lucene ecosystem (Lucene/Solr/Nutch/Mahout/Tika/Droids) using >>> Solr/Lucene: >>> http://www.lucidimagination.com/search >>> >>> >> >
