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Posted to user@pig.apache.org by Jon Coveney <jc...@gmail.com> on 2012/09/05 08:32:27 UTC
Berkeley lecture on Pig
In partnership with Berkeley, Twitter employees are giving a number of lectures to a class on big data. I did one on Pig. I thought some might find it useful.
Slides:
http://db.tt/VJfy1Ixz
Full presentation:
http://blogs.ischool.berkeley.edu/i290-abdt-s12/
If you have any comments let me know (though I'll be out of the country for the next two weeks).
Hope it's useful
Jon
Re: Berkeley lecture on Pig
Posted by Russell Jurney <ru...@gmail.com>.
Pig blog.
Russell Jurney http://datasyndrome.com
On Sep 5, 2012, at 8:56 AM, Bill Graham <bi...@gmail.com> wrote:
> This is great, Jon. You should link to these from the Pig wiki:
>
> https://cwiki.apache.org/confluence/display/PIG/PigTalksPapers
>
>
> On Wed, Sep 5, 2012 at 8:27 AM, Anurag Gulati <An...@aexp.com>wrote:
>
>> Thanks for the resource!
>>
>> Regards,
>>
>>
>> Anurag Gulati
>>
>>
>>
>> -----Original Message-----
>> From: Jon Coveney [mailto:jcoveney@gmail.com]
>> Sent: Tuesday, September 04, 2012 11:32 PM
>> To: user@pig.apache.org
>> Subject: Berkeley lecture on Pig
>>
>> In partnership with Berkeley, Twitter employees are giving a number of
>> lectures to a class on big data. I did one on Pig. I thought some might
>> find it useful.
>>
>> Slides:
>> http://db.tt/VJfy1Ixz
>>
>> Full presentation:
>> http://blogs.ischool.berkeley.edu/i290-abdt-s12/
>>
>> If you have any comments let me know (though I'll be out of the country
>> for the next two weeks).
>>
>> Hope it's useful
>> Jon
>>
>> American Express made the following annotations on Wed Sep 05 2012 08:27:53
>>
>>
>> ******************************************************************************
>>
>> "This message and any attachments are solely for the intended recipient
>> and may contain confidential or privileged information. If you are not the
>> intended recipient, any disclosure, copying, use, or distribution of the
>> information included in this message and any attachments is prohibited. If
>> you have received this communication in error, please notify us by reply
>> e-mail and immediately and permanently delete this message and any
>> attachments. Thank you."
>>
>> American Express a ajouté le commentaire suivant le Wed Sep 05 2012
>> 08:27:53
>>
>> Ce courrier et toute pièce jointe qu'il contient sont réservés au seul
>> destinataire indiqué et peuvent renfermer des renseignements confidentiels
>> et privilégiés. Si vous n'êtes pas le destinataire prévu, toute
>> divulgation, duplication, utilisation ou distribution du courrier ou de
>> toute pièce jointe est interdite. Si vous avez reçu cette communication par
>> erreur, veuillez nous en aviser par courrier et détruire immédiatement le
>> courrier et les pièces jointes. Merci.
>>
>>
>> ******************************************************************************
>>
>> -------------------------------------------------------------------------------
>>
>>
>
>
> --
> *Note that I'm no longer using my Yahoo! email address. Please email me at
> billgraham@gmail.com going forward.*
Re: Berkeley lecture on Pig
Posted by Bill Graham <bi...@gmail.com>.
This is great, Jon. You should link to these from the Pig wiki:
https://cwiki.apache.org/confluence/display/PIG/PigTalksPapers
On Wed, Sep 5, 2012 at 8:27 AM, Anurag Gulati <An...@aexp.com>wrote:
> Thanks for the resource!
>
> Regards,
>
>
> Anurag Gulati
>
>
>
> -----Original Message-----
> From: Jon Coveney [mailto:jcoveney@gmail.com]
> Sent: Tuesday, September 04, 2012 11:32 PM
> To: user@pig.apache.org
> Subject: Berkeley lecture on Pig
>
> In partnership with Berkeley, Twitter employees are giving a number of
> lectures to a class on big data. I did one on Pig. I thought some might
> find it useful.
>
> Slides:
> http://db.tt/VJfy1Ixz
>
> Full presentation:
> http://blogs.ischool.berkeley.edu/i290-abdt-s12/
>
> If you have any comments let me know (though I'll be out of the country
> for the next two weeks).
>
> Hope it's useful
> Jon
>
> American Express made the following annotations on Wed Sep 05 2012 08:27:53
>
>
> ******************************************************************************
>
> "This message and any attachments are solely for the intended recipient
> and may contain confidential or privileged information. If you are not the
> intended recipient, any disclosure, copying, use, or distribution of the
> information included in this message and any attachments is prohibited. If
> you have received this communication in error, please notify us by reply
> e-mail and immediately and permanently delete this message and any
> attachments. Thank you."
>
> American Express a ajouté le commentaire suivant le Wed Sep 05 2012
> 08:27:53
>
> Ce courrier et toute pièce jointe qu'il contient sont réservés au seul
> destinataire indiqué et peuvent renfermer des renseignements confidentiels
> et privilégiés. Si vous n'êtes pas le destinataire prévu, toute
> divulgation, duplication, utilisation ou distribution du courrier ou de
> toute pièce jointe est interdite. Si vous avez reçu cette communication par
> erreur, veuillez nous en aviser par courrier et détruire immédiatement le
> courrier et les pièces jointes. Merci.
>
>
> ******************************************************************************
>
> -------------------------------------------------------------------------------
>
>
--
*Note that I'm no longer using my Yahoo! email address. Please email me at
billgraham@gmail.com going forward.*
RE: Berkeley lecture on Pig
Posted by Anurag Gulati <An...@aexp.com>.
Thanks for the resource!
Regards,
Anurag Gulati
-----Original Message-----
From: Jon Coveney [mailto:jcoveney@gmail.com]
Sent: Tuesday, September 04, 2012 11:32 PM
To: user@pig.apache.org
Subject: Berkeley lecture on Pig
In partnership with Berkeley, Twitter employees are giving a number of lectures to a class on big data. I did one on Pig. I thought some might find it useful.
Slides:
http://db.tt/VJfy1Ixz
Full presentation:
http://blogs.ischool.berkeley.edu/i290-abdt-s12/
If you have any comments let me know (though I'll be out of the country for the next two weeks).
Hope it's useful
Jon
American Express made the following annotations on Wed Sep 05 2012 08:27:53
******************************************************************************
"This message and any attachments are solely for the intended recipient and may contain confidential or privileged information. If you are not the intended recipient, any disclosure, copying, use, or distribution of the information included in this message and any attachments is prohibited. If you have received this communication in error, please notify us by reply e-mail and immediately and permanently delete this message and any attachments. Thank you."
American Express a ajout� le commentaire suivant le Wed Sep 05 2012 08:27:53
Ce courrier et toute pi�ce jointe qu'il contient sont r�serv�s au seul destinataire indiqu� et peuvent renfermer des renseignements confidentiels et privil�gi�s. Si vous n'�tes pas le destinataire pr�vu, toute divulgation, duplication, utilisation ou distribution du courrier ou de toute pi�ce jointe est interdite. Si vous avez re�u cette communication par erreur, veuillez nous en aviser par courrier et d�truire imm�diatement le courrier et les pi�ces jointes. Merci.
******************************************************************************
-------------------------------------------------------------------------------
Re: Berkeley lecture on Pig
Posted by Prashant Kommireddi <pr...@gmail.com>.
Nice!
On Sep 4, 2012, at 11:34 PM, Jon Coveney <jc...@gmail.com> wrote:
> In partnership with Berkeley, Twitter employees are giving a number of lectures to a class on big data. I did one on Pig. I thought some might find it useful.
>
> Slides:
> http://db.tt/VJfy1Ixz
>
> Full presentation:
> http://blogs.ischool.berkeley.edu/i290-abdt-s12/
>
> If you have any comments let me know (though I'll be out of the country for the next two weeks).
>
> Hope it's useful
> Jon
Re: Berkeley lecture on Pig
Posted by Atul Thapliyal <at...@aggiemail.usu.edu>.
Thanks a lot for sharing Jon !!
On Wed, Sep 5, 2012 at 10:50 AM, Jon Coveney <jc...@gmail.com> wrote:
> Do it!
>
> On Sep 5, 2012, at 9:08 AM, Steve Bernstein <St...@deem.com>
> wrote:
>
> > This is a great preso Jon. Do you mind if I (we) re-use (with credit)
> all or parts for a presentation internal to my company (a private
> commercial enterprise)?
> > Thanks,
> > Steve
> >
> > -----Original Message-----
> > From: Jon Coveney [mailto:jcoveney@gmail.com]
> > Sent: Tuesday, September 04, 2012 11:32 PM
> > To: user@pig.apache.org
> > Subject: Berkeley lecture on Pig
> >
> > In partnership with Berkeley, Twitter employees are giving a number of
> lectures to a class on big data. I did one on Pig. I thought some might
> find it useful.
> >
> > Slides:
> > http://db.tt/VJfy1Ixz
> >
> > Full presentation:
> > http://blogs.ischool.berkeley.edu/i290-abdt-s12/
> >
> > If you have any comments let me know (though I'll be out of the country
> for the next two weeks).
> >
> > Hope it's useful
> > Jon
>
--
Warm Regards
Atul
Re: Berkeley lecture on Pig
Posted by Jon Coveney <jc...@gmail.com>.
Do it!
On Sep 5, 2012, at 9:08 AM, Steve Bernstein <St...@deem.com> wrote:
> This is a great preso Jon. Do you mind if I (we) re-use (with credit) all or parts for a presentation internal to my company (a private commercial enterprise)?
> Thanks,
> Steve
>
> -----Original Message-----
> From: Jon Coveney [mailto:jcoveney@gmail.com]
> Sent: Tuesday, September 04, 2012 11:32 PM
> To: user@pig.apache.org
> Subject: Berkeley lecture on Pig
>
> In partnership with Berkeley, Twitter employees are giving a number of lectures to a class on big data. I did one on Pig. I thought some might find it useful.
>
> Slides:
> http://db.tt/VJfy1Ixz
>
> Full presentation:
> http://blogs.ischool.berkeley.edu/i290-abdt-s12/
>
> If you have any comments let me know (though I'll be out of the country for the next two weeks).
>
> Hope it's useful
> Jon
Re: Machine Learning + Pig?
Posted by Manish Bhoge <ma...@rocketmail.com>.
Anurag,
Pig can provide you data flow capability where you can do conventional data analysis and run aggregations. As far as ML is concerned use Mahout where you have most of the algorithm implementation like clustering, k-means, LR etc. Let me know if you need specific documentation on this.
Thanks,
Manish
Sent from my BlackBerry, pls excuse typo
-----Original Message-----
From: "Anurag Gulati" <An...@aexp.com>
Date: Wed, 5 Sep 2012 21:28:27
To: user@pig.apache.org<us...@pig.apache.org>
Reply-To: user@pig.apache.org
Subject: Machine Learning + Pig?
Hello Everyone!
I was wondering if there are any resources that show Machine Learning Algorithms implemented in Pig.
Thanks for your Help!
-Anurag G.
American Express made the following annotations on Wed Sep 05 2012 14:28:25
******************************************************************************
"This message and any attachments are solely for the intended recipient and may contain confidential or privileged information. If you are not the intended recipient, any disclosure, copying, use, or distribution of the information included in this message and any attachments is prohibited. If you have received this communication in error, please notify us by reply e-mail and immediately and permanently delete this message and any attachments. Thank you."
American Express a ajouté le commentaire suivant le Wed Sep 05 2012 14:28:25
Ce courrier et toute pièce jointe qu'il contient sont réservés au seul destinataire indiqué et peuvent renfermer des renseignements confidentiels et privilégiés. Si vous n'êtes pas le destinataire prévu, toute divulgation, duplication, utilisation ou distribution du courrier ou de toute pièce jointe est interdite. Si vous avez reçu cette communication par erreur, veuillez nous en aviser par courrier et détruire immédiatement le courrier et les pièces jointes. Merci.
******************************************************************************
-------------------------------------------------------------------------------
Re: Machine Learning + Pig?
Posted by Dmitriy Ryaboy <dv...@gmail.com>.
Please take a look at Alek and Jimmy's paper on ML in Pig; there are
also a few presentations they did on this, here's one from the Hadoop
Summit:
https://speakerdeck.com/u/lintool/p/large-scale-machine-learning-at-twitter
Note also that Ted Dunning has taken some of the stuff we open-sourced
that allows us to do this, and hooked it up with Mahout feature
vectors:
https://github.com/tdunning/pig-vector (we do something quite similar
internally, using the same base libraries).
-Dmitriy
On Thu, Sep 6, 2012 at 12:27 AM, Manish Bhoge
<ma...@rocketmail.com> wrote:
> Thanks Siddharth this is really new stuff for me.
> Sent from my BlackBerry, pls excuse typo
>
> -----Original Message-----
> From: Siddharth Tiwari <si...@tcs.com>
> Date: Thu, 6 Sep 2012 03:38:58
> To: <us...@pig.apache.org>; <an...@aexp.com>
> Reply-To: user@pig.apache.org
> Subject: Re: Machine Learning + Pig?
>
> HI Anurag,
>
> Yes its offcourse possible.
> Infact there are numerous implementations by twitter on pig as it saves them from a lot of java coding.
> Infact we are also working for AEXP on ML over Hadoop.
> You can try googling about mnesia, pignlproc, and there are many more implementations. Primarily clustering and classification.
>
>
> -----"Anurag Gulati" <An...@aexp.com> wrote: -----
> To: "user@pig.apache.org" <us...@pig.apache.org>
> From: "Anurag Gulati" <An...@aexp.com>
> Date: 09/06/2012 02:59AM
> Subject: Machine Learning + Pig?
>
> Hello Everyone!
>
> I was wondering if there are any resources that show Machine Learning Algorithms implemented in Pig.
>
> Thanks for your Help!
>
> -Anurag G.
>
> American Express made the following annotations on Wed Sep 05 2012 14:28:25
>
> ******************************************************************************
>
> "This message and any attachments are solely for the intended recipient and may contain confidential or privileged information. If you are not the intended recipient, any disclosure, copying, use, or distribution of the information included in this message and any attachments is prohibited. If you have received this communication in error, please notify us by reply e-mail and immediately and permanently delete this message and any attachments. Thank you."
>
> American Express a ajouté le commentaire suivant le Wed Sep 05 2012 14:28:25
>
> Ce courrier et toute pièce jointe qu'il contient sont réservés au seul destinataire indiqué et peuvent renfermer des renseignements confidentiels et privilégiés. Si vous n'êtes pas le destinataire prévu, toute divulgation, duplication, utilisation ou distribution du courrier ou de toute pièce jointe est interdite. Si vous avez reçu cette communication par erreur, veuillez nous en aviser par courrier et détruire immédiatement le courrier et les pièces jointes. Merci.
>
> ******************************************************************************
> -------------------------------------------------------------------------------
>
> =====-----=====-----=====
> Notice: The information contained in this e-mail
> message and/or attachments to it may contain
> confidential or privileged information. If you are
> not the intended recipient, any dissemination, use,
> review, distribution, printing or copying of the
> information contained in this e-mail message
> and/or attachments to it are strictly prohibited. If
> you have received this communication in error,
> please notify us by reply e-mail or telephone and
> immediately and permanently delete the message
> and any attachments. Thank you
>
>
>
Re: Machine Learning + Pig?
Posted by Manish Bhoge <ma...@rocketmail.com>.
Thanks Siddharth this is really new stuff for me.
Sent from my BlackBerry, pls excuse typo
-----Original Message-----
From: Siddharth Tiwari <si...@tcs.com>
Date: Thu, 6 Sep 2012 03:38:58
To: <us...@pig.apache.org>; <an...@aexp.com>
Reply-To: user@pig.apache.org
Subject: Re: Machine Learning + Pig?
HI Anurag,
Yes its offcourse possible.
Infact there are numerous implementations by twitter on pig as it saves them from a lot of java coding.
Infact we are also working for AEXP on ML over Hadoop.
You can try googling about mnesia, pignlproc, and there are many more implementations. Primarily clustering and classification.
-----"Anurag Gulati" <An...@aexp.com> wrote: -----
To: "user@pig.apache.org" <us...@pig.apache.org>
From: "Anurag Gulati" <An...@aexp.com>
Date: 09/06/2012 02:59AM
Subject: Machine Learning + Pig?
Hello Everyone!
I was wondering if there are any resources that show Machine Learning Algorithms implemented in Pig.
Thanks for your Help!
-Anurag G.
American Express made the following annotations on Wed Sep 05 2012 14:28:25
******************************************************************************
"This message and any attachments are solely for the intended recipient and may contain confidential or privileged information. If you are not the intended recipient, any disclosure, copying, use, or distribution of the information included in this message and any attachments is prohibited. If you have received this communication in error, please notify us by reply e-mail and immediately and permanently delete this message and any attachments. Thank you."
American Express a ajouté le commentaire suivant le Wed Sep 05 2012 14:28:25
Ce courrier et toute pièce jointe qu'il contient sont réservés au seul destinataire indiqué et peuvent renfermer des renseignements confidentiels et privilégiés. Si vous n'êtes pas le destinataire prévu, toute divulgation, duplication, utilisation ou distribution du courrier ou de toute pièce jointe est interdite. Si vous avez reçu cette communication par erreur, veuillez nous en aviser par courrier et détruire immédiatement le courrier et les pièces jointes. Merci.
******************************************************************************
-------------------------------------------------------------------------------
=====-----=====-----=====
Notice: The information contained in this e-mail
message and/or attachments to it may contain
confidential or privileged information. If you are
not the intended recipient, any dissemination, use,
review, distribution, printing or copying of the
information contained in this e-mail message
and/or attachments to it are strictly prohibited. If
you have received this communication in error,
please notify us by reply e-mail or telephone and
immediately and permanently delete the message
and any attachments. Thank you
Re: Machine Learning + Pig?
Posted by Bill Graham <bi...@gmail.com>.
Here's a paper about Machine Learning at Twitter using Pig:
http://www.umiacs.umd.edu/~jimmylin/publications/Lin_Kolcz_SIGMOD2012.pdf
On Wed, Sep 5, 2012 at 3:08 PM, Siddharth Tiwari
<si...@tcs.com>wrote:
> HI Anurag,
>
> Yes its offcourse possible.
> Infact there are numerous implementations by twitter on pig as it saves
> them from a lot of java coding.
> Infact we are also working for AEXP on ML over Hadoop.
> You can try googling about mnesia, pignlproc, and there are many more
> implementations. Primarily clustering and classification.
>
>
> -----"Anurag Gulati" <An...@aexp.com> wrote: -----
> To: "user@pig.apache.org" <us...@pig.apache.org>
> From: "Anurag Gulati" <An...@aexp.com>
> Date: 09/06/2012 02:59AM
> Subject: Machine Learning + Pig?
>
> Hello Everyone!
>
> I was wondering if there are any resources that show Machine Learning
> Algorithms implemented in Pig.
>
> Thanks for your Help!
>
> -Anurag G.
>
> American Express made the following annotations on Wed Sep 05 2012 14:28:25
>
>
> ******************************************************************************
>
> "This message and any attachments are solely for the intended recipient
> and may contain confidential or privileged information. If you are not the
> intended recipient, any disclosure, copying, use, or distribution of the
> information included in this message and any attachments is prohibited. If
> you have received this communication in error, please notify us by reply
> e-mail and immediately and permanently delete this message and any
> attachments. Thank you."
>
> American Express a ajouté le commentaire suivant le Wed Sep 05 2012
> 14:28:25
>
> Ce courrier et toute pièce jointe qu'il contient sont réservés au seul
> destinataire indiqué et peuvent renfermer des renseignements confidentiels
> et privilégiés. Si vous n'êtes pas le destinataire prévu, toute
> divulgation, duplication, utilisation ou distribution du courrier ou de
> toute pièce jointe est interdite. Si vous avez reçu cette communication par
> erreur, veuillez nous en aviser par courrier et détruire immédiatement le
> courrier et les pièces jointes. Merci.
>
>
> ******************************************************************************
>
> -------------------------------------------------------------------------------
>
> =====-----=====-----=====
> Notice: The information contained in this e-mail
> message and/or attachments to it may contain
> confidential or privileged information. If you are
> not the intended recipient, any dissemination, use,
> review, distribution, printing or copying of the
> information contained in this e-mail message
> and/or attachments to it are strictly prohibited. If
> you have received this communication in error,
> please notify us by reply e-mail or telephone and
> immediately and permanently delete the message
> and any attachments. Thank you
>
>
>
--
*Note that I'm no longer using my Yahoo! email address. Please email me at
billgraham@gmail.com going forward.*
Re: Machine Learning + Pig?
Posted by Siddharth Tiwari <si...@tcs.com>.
HI Anurag,
Yes its offcourse possible.
Infact there are numerous implementations by twitter on pig as it saves them from a lot of java coding.
Infact we are also working for AEXP on ML over Hadoop.
You can try googling about mnesia, pignlproc, and there are many more implementations. Primarily clustering and classification.
-----"Anurag Gulati" <An...@aexp.com> wrote: -----
To: "user@pig.apache.org" <us...@pig.apache.org>
From: "Anurag Gulati" <An...@aexp.com>
Date: 09/06/2012 02:59AM
Subject: Machine Learning + Pig?
Hello Everyone!
I was wondering if there are any resources that show Machine Learning Algorithms implemented in Pig.
Thanks for your Help!
-Anurag G.
American Express made the following annotations on Wed Sep 05 2012 14:28:25
******************************************************************************
"This message and any attachments are solely for the intended recipient and may contain confidential or privileged information. If you are not the intended recipient, any disclosure, copying, use, or distribution of the information included in this message and any attachments is prohibited. If you have received this communication in error, please notify us by reply e-mail and immediately and permanently delete this message and any attachments. Thank you."
American Express a ajouté le commentaire suivant le Wed Sep 05 2012 14:28:25
Ce courrier et toute pièce jointe qu'il contient sont réservés au seul destinataire indiqué et peuvent renfermer des renseignements confidentiels et privilégiés. Si vous n'êtes pas le destinataire prévu, toute divulgation, duplication, utilisation ou distribution du courrier ou de toute pièce jointe est interdite. Si vous avez reçu cette communication par erreur, veuillez nous en aviser par courrier et détruire immédiatement le courrier et les pièces jointes. Merci.
******************************************************************************
-------------------------------------------------------------------------------
=====-----=====-----=====
Notice: The information contained in this e-mail
message and/or attachments to it may contain
confidential or privileged information. If you are
not the intended recipient, any dissemination, use,
review, distribution, printing or copying of the
information contained in this e-mail message
and/or attachments to it are strictly prohibited. If
you have received this communication in error,
please notify us by reply e-mail or telephone and
immediately and permanently delete the message
and any attachments. Thank you
Machine Learning + Pig?
Posted by Anurag Gulati <An...@aexp.com>.
Hello Everyone!
I was wondering if there are any resources that show Machine Learning Algorithms implemented in Pig.
Thanks for your Help!
-Anurag G.
American Express made the following annotations on Wed Sep 05 2012 14:28:25
******************************************************************************
"This message and any attachments are solely for the intended recipient and may contain confidential or privileged information. If you are not the intended recipient, any disclosure, copying, use, or distribution of the information included in this message and any attachments is prohibited. If you have received this communication in error, please notify us by reply e-mail and immediately and permanently delete this message and any attachments. Thank you."
American Express a ajout� le commentaire suivant le Wed Sep 05 2012 14:28:25
Ce courrier et toute pi�ce jointe qu'il contient sont r�serv�s au seul destinataire indiqu� et peuvent renfermer des renseignements confidentiels et privil�gi�s. Si vous n'�tes pas le destinataire pr�vu, toute divulgation, duplication, utilisation ou distribution du courrier ou de toute pi�ce jointe est interdite. Si vous avez re�u cette communication par erreur, veuillez nous en aviser par courrier et d�truire imm�diatement le courrier et les pi�ces jointes. Merci.
******************************************************************************
-------------------------------------------------------------------------------
RE: Berkeley lecture on Pig
Posted by Steve Bernstein <St...@deem.com>.
This is a great preso Jon. Do you mind if I (we) re-use (with credit) all or parts for a presentation internal to my company (a private commercial enterprise)?
Thanks,
Steve
-----Original Message-----
From: Jon Coveney [mailto:jcoveney@gmail.com]
Sent: Tuesday, September 04, 2012 11:32 PM
To: user@pig.apache.org
Subject: Berkeley lecture on Pig
In partnership with Berkeley, Twitter employees are giving a number of lectures to a class on big data. I did one on Pig. I thought some might find it useful.
Slides:
http://db.tt/VJfy1Ixz
Full presentation:
http://blogs.ischool.berkeley.edu/i290-abdt-s12/
If you have any comments let me know (though I'll be out of the country for the next two weeks).
Hope it's useful
Jon