Re: [DISCUSS] Apache CarbonData podling graduation

[Bertrand Delacretaz]

On Thu, Mar 2, 2017 at 7:49 AM, Jean-Baptiste Onofré  wrote:
> ...To prepare this discussion, I prepared a self-assessment against the
> Maturity Model:
> https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=68714623
...

Thanks! This helps build confidence about graduating CarbonData, I'm
+1 for that.

-Bertrand

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[RESULT][VOTE] Apache SystemML 0.13.0-incubating (RC2)

[Arvind Surve]

Voting has passed with 3 (binding) PMC +1 votes from     Luciano Resende
  Henry Saputra  Jean-Baptiste Onofré
Thank you for taking time and verifying release contents.

-Arvind  Arvind Surve | Spark Technology Center  | http://www.spark.tc/

 
- Forwarded Message -
 From: Arvind Surve 
 To: "general@incubator.apache.org"  
 Sent: Monday, February 27, 2017 8:58 PM
 Subject: [VOTE] Apache SystemML 0.13.0-incubating (RC2)
   
 Please vote on releasing the following candidate as Apache SystemML version 
0.13.0-incubating !
The vote is open for at least 72 hours and passes if a majority of at least 3 
+1 PMC votes are cast.

[ ] +1 Release this package as Apache SystemML 0.13.0-incubating
[ ] -1 Do not release this package because ...

To learn more about Apache SystemML, please see http://systemml.apache.org/

The tag to be voted on is v0.13.0-incubating-rc2 
(ff3e741694e507f64a6b52ee71638bddecabe7af)

https://github.com/apache/incubator-systemml/commit/ff3e741694e507f64a6b52ee71638bddecabe7af

The release artifacts can be found at :
https://dist.apache.org/repos/dist/dev/incubator/systemml/0.13.0-incubating-rc2/

The maven release artifacts, including signatures, digests, etc. can be found 
at:

https://repository.apache.org/content/repositories/orgapachesystemml-1017/org/apache/systemml/systemml/0.13.0-incubating/


PPMC Vote Mail 
Threadhttps://www.mail-archive.com/dev@systemml.incubator.apache.org/msg01439.html

PPMC Vote Results 
Mailhttps://www.mail-archive.com/dev@systemml.incubator.apache.org/msg01452.html





Arvind Surve | Spark Technology Center  | http://www.spark.tc/

   

Re: [DISCUSS] Apache CarbonData podling graduation

[Jean-Baptiste Onofré]

Gently reminder of this thread.

I'm preparing the resolution.

Please, let me know if you have any questions or comments.

Thanks !
Regards
JB

On 03/02/2017 07:49 AM, Jean-Baptiste Onofré wrote:

Hi all,

Apache CarbonData started incubation in June '16. CarbonData did (and
still doing) great moves: several releases, website, documentation, new
features, community grow, new committers.

I think it's time to discuss the graduation of CarbonData.

To prepare this discussion, I prepared a self-assessment against the
Maturity Model:

https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=68714623

You can find the discussion between the PPMC, including some numbers
about the podling activity here:

http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/DISCUSS-Graduation-to-a-TLP-Top-Level-Project-td7715.html


If we were to graduate, the CarbonData PPMC recommends the following
information for the Board resolution:
* Project Name: Apache CarbonData
* Project description and scope: Apache CarbonData is an indexed
columnar data format for fast analytics on big data platform, e.g.
Apache Hadoop, Apache Spark, etc.
* PMC composition:
* Liang Chen
* Jean-Baptiste Onofré
* Henry Saputra
* Uma Maheswara Rao G
* Jenny MA
* Jacky Li
* Vimal Das Kammath
* Jarray Qiu

Any thoughts, comments, questions ?

Thanks !

Regards
JB


--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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Re: [VOTE] Apache SystemML 0.13.0-incubating (RC2)

[Jean-Baptiste Onofré]

+1 (binding)

Check headers, signatures (not build)

Regards
JB

On 02/28/2017 05:58 AM, Arvind Surve wrote:

 Please vote on releasing the following candidate as Apache SystemML version 
0.13.0-incubating !
The vote is open for at least 72 hours and passes if a majority of at least 3 
+1 PMC votes are cast.

[ ] +1 Release this package as Apache SystemML 0.13.0-incubating
[ ] -1 Do not release this package because ...

To learn more about Apache SystemML, please see http://systemml.apache.org/

The tag to be voted on is v0.13.0-incubating-rc2 
(ff3e741694e507f64a6b52ee71638bddecabe7af)

https://github.com/apache/incubator-systemml/commit/ff3e741694e507f64a6b52ee71638bddecabe7af

The release artifacts can be found at :
https://dist.apache.org/repos/dist/dev/incubator/systemml/0.13.0-incubating-rc2/

The maven release artifacts, including signatures, digests, etc. can be found 
at:

https://repository.apache.org/content/repositories/orgapachesystemml-1017/org/apache/systemml/systemml/0.13.0-incubating/


PPMC Vote Mail 
Threadhttps://www.mail-archive.com/dev@systemml.incubator.apache.org/msg01439.html

PPMC Vote Results 
Mailhttps://www.mail-archive.com/dev@systemml.incubator.apache.org/msg01452.html





Arvind Surve | Spark Technology Center  | http://www.spark.tc/



--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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Re: [VOTE] Release Apache Traffic Control 1.8.0-incubating (RC11)

[Jean-Baptiste Onofré]

+1 (binding)

Check build and signatures.

Regards
JB

On 02/21/2017 05:06 PM, Dan Kirkwood wrote:

Hello Incubator PMC,

The Apache Traffic Control community has voted on and approved a
proposal to release Apache Traffic Control 1.8.0-incubating.  We now
kindly request that the Incubator PMC members review and vote on this
incubator release.

The VOTE RESULT is here:

https://lists.apache.org/thread.html/dc3ba61d2834579a6e7237df08d828b61011a6cb087e1948be70c78a@%3Cdev.trafficcontrol.apache.org%3E

The draft release notes (along with links to artifacts,
signatures/checksums, and updated documentation) can be found here:

http://trafficcontrol.incubator.apache.org/downloads/

The git tag for the repository is "RELEASE-1.8.0-RC11":
https://github.com/apache/incubator-trafficcontrol/releases/tag/RELEASE-1.8.0-RC11

The source distribution (also linked in the release notes) is here:

https://dist.apache.org/repos/dist/dev/incubator/trafficcontrol/1.8.0/RC11/

Build instructions are included in the BUILD.md file which is included
in the source artifact.

Artifacts have been signed with the "dang...@apache.org" key listed in:

https://dist.apache.org/repos/dist/dev/incubator/trafficcontrol/KEYS

Please review and vote:

[  ] +1 Approve the release
[  ] -1 Don't approve the release (please provide specific comments)

This vote will be open for at least 72 hours.

Thanks,

- Dan

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--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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Re: [VOTE] Release Apache Traffic Control 1.8.0-incubating (RC11)

[John D. Ament]

Sorry for the delay, release structure looks on point to me.  Thanks for
cleaning it up.

+1

On Tue, Feb 21, 2017 at 11:06 AM Dan Kirkwood  wrote:

> Hello Incubator PMC,
>
> The Apache Traffic Control community has voted on and approved a
> proposal to release Apache Traffic Control 1.8.0-incubating.  We now
> kindly request that the Incubator PMC members review and vote on this
> incubator release.
>
> The VOTE RESULT is here:
>
>
> https://lists.apache.org/thread.html/dc3ba61d2834579a6e7237df08d828b61011a6cb087e1948be70c78a@%3Cdev.trafficcontrol.apache.org%3E
>
> The draft release notes (along with links to artifacts,
> signatures/checksums, and updated documentation) can be found here:
>
> http://trafficcontrol.incubator.apache.org/downloads/
>
> The git tag for the repository is "RELEASE-1.8.0-RC11":
>
> https://github.com/apache/incubator-trafficcontrol/releases/tag/RELEASE-1.8.0-RC11
>
> The source distribution (also linked in the release notes) is here:
>
> https://dist.apache.org/repos/dist/dev/incubator/trafficcontrol/1.8.0/RC11/
>
> Build instructions are included in the BUILD.md file which is included
> in the source artifact.
>
> Artifacts have been signed with the "dang...@apache.org" key listed in:
>
> https://dist.apache.org/repos/dist/dev/incubator/trafficcontrol/KEYS
>
> Please review and vote:
>
> [  ] +1 Approve the release
> [  ] -1 Don't approve the release (please provide specific comments)
>
> This vote will be open for at least 72 hours.
>
> Thanks,
>
> - Dan
>
> -
> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
> For additional commands, e-mail: general-h...@incubator.apache.org
>
>

Re: [VOTE] Release Apache Traffic Control 1.8.0-incubating (RC11)

[Leif Hedstrom]

> On Feb 21, 2017, at 9:06 AM, Dan Kirkwood  wrote:
> 
> Hello Incubator PMC,
> 

+1 (binding)

— Leif



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Fw: [VOTE] Apache SystemML 0.13.0-incubating (RC2)

[Arvind Surve]

Hi,
We  have 2 +1 votes on SystemML 0.13 RC2 so far. We need one more +1 vote to 
get release announced.Can any of you volunteer to validate release and vote on 
this release please?
ThanksArvind
 Arvind Surve | Spark Technology Center  | http://www.spark.tc/

 
- Forwarded Message -
 From: Arvind Surve 
 To: "general@incubator.apache.org"  
 Sent: Monday, February 27, 2017 8:58 PM
 Subject: [VOTE] Apache SystemML 0.13.0-incubating (RC2)
   
 Please vote on releasing the following candidate as Apache SystemML version 
0.13.0-incubating !
The vote is open for at least 72 hours and passes if a majority of at least 3 
+1 PMC votes are cast.

[ ] +1 Release this package as Apache SystemML 0.13.0-incubating
[ ] -1 Do not release this package because ...

To learn more about Apache SystemML, please see http://systemml.apache.org/

The tag to be voted on is v0.13.0-incubating-rc2 
(ff3e741694e507f64a6b52ee71638bddecabe7af)

https://github.com/apache/incubator-systemml/commit/ff3e741694e507f64a6b52ee71638bddecabe7af

The release artifacts can be found at :
https://dist.apache.org/repos/dist/dev/incubator/systemml/0.13.0-incubating-rc2/

The maven release artifacts, including signatures, digests, etc. can be found 
at:

https://repository.apache.org/content/repositories/orgapachesystemml-1017/org/apache/systemml/systemml/0.13.0-incubating/


PPMC Vote Mail 
Threadhttps://www.mail-archive.com/dev@systemml.incubator.apache.org/msg01439.html

PPMC Vote Results 
Mailhttps://www.mail-archive.com/dev@systemml.incubator.apache.org/msg01452.html





Arvind Surve | Spark Technology Center  | http://www.spark.tc/

   

[VOTE] Apache DataFu 1.3.2 release RC0

[Matthew Hayes]

The Apache DataFu community has voted on and approved the release of Apache
DataFu 1.3.2 (incubating):

http://mail-archives.apache.org/mod_mbox/incubator-datafu-dev/201703.mbox/browser

Results:
3 binding +1 votes
No 0 votes
No -1 votes

I'd like to call a vote in general to approve the release.

The source release candidate RC0 can be downloaded here:

https://dist.apache.org/repos/dist/dev/incubator/datafu/apache-datafu
-incubating-1.3.2-rc0/

The artifacts (i.e. JARs) built from 1.3.2 RC0 can be found here:

https://repository.apache.org/content/repositories/orgapachedatafu-1004/

These have been signed with PGP key 7BA4C7DF, corresponding to
mha...@apache.org, which is included in the repository's KEYS file.  This
key can be found on keyservers, such as:

*http://pgp.mit.edu/pks/lookup?op=get&search=0x7BA4C7DF
*

The key is also listed here:

https://people.apache.org/keys/group/datafu.asc

The release candidate has been tagged in git with release-1.3.2-rc0, which
has been signed with the same key.  I've also created a branch 1.3.2.

For reference, here is a list of all closed JIRAs tagged with 1.3.2:

https://issues.apache.org/jira/issues/?jql=project%20%
3D%20DATAFU%20AND%20status%20%3D%20Closed%20AND%20fixVersion%20%3D%201.3.2%
20ORDER%20BY%20updated%20DESC%2C%20created%20DESC%2C%
20status%20DESC%2C%20priority%20DESC

For a summary of the changes in this release, see:

https://github.com/apache/incubator-datafu/blob/1.3.2/changes.md

Note that starting with this release, LICENSE, NOTICE, and DISCLAIMER files
are included in the META-INF of the JARs.  These differ from the source
release versions as they reflect what is bundled in the JARs.

Please download the release candidate, check the hashes, check the
signatures, test it, and vote.  The vote will be open for 72 hours.

[ ] +1 approve
[ ] +0 no opinion
[ ] -1 disapprove (and reason why)

Thanks,
Matt, on behalf of the Apache DataFu PPMC

Re: SystemML webpage

[Deron Eriksson]

I've updated the header title on the main website pages to include
"(incubating)". On the index.html page, I didn't update the main title
under this since "incubating" is now mentioned in the header and in the
download link right below the main title. Also, the main pages include the
Apache Incubator disclaimer and logo. (Note that sometimes a browser
refresh is needed to see updates to the main site.)

Please let us know if any further updates are needed.

Deron


On Thu, Mar 2, 2017 at 8:55 AM, Konstantin Boudnik  wrote:

> Thank you for quick turn around!
>
> Regards,
>   Cos
> --
>   Take care,
> Konstantin (Cos) Boudnik
>
>
> On Thu, Mar 2, 2017 at 11:48 AM, Deron Eriksson 
> wrote:
> > Thank you for finding this Konstantin. We will take care of this to
> ensure
> > we follow the Apache Incubator guidelines.
> >
> > Our project documentation pages (
> > http://systemml.incubator.apache.org/docs/0.12.0/index.html) include
> > "(incubating)" but our main website pages (
> > https://systemml.incubator.apache.org/) do not include "(incubating)".
> We
> > will fix this.
> >
> > Thanks!
> > Deron
> >
> >
> > On Thu, Mar 2, 2017 at 8:13 AM, Konstantin Boudnik 
> wrote:
> >
> >> Hello.
> >>
> >> I recently came around
> >>   https://systemml.incubator.apache.org/
> >>
> >> and have noticed that the project name doesn't include "(incubating)"
> >> tag, which is a requirement for the incubating podlings, IIRC. Can the
> >> PPMC address this issue, please?
> >>
> >> I am Cc'ing general@incubator.apache.org list to make sure this
> >> message isn't missed, Of course this isn't a private message.
> >> --
> >>   Take care,
> >> Konstantin (Cos) Boudnik
> >> 2CAC 8312 4870 D885 8616  6115 220F 6980 1F27 E622
> >>
> >> Disclaimer: Opinions expressed in this email are those of the author,
> >> and do not necessarily represent the views of any company the author
> >> might be affiliated with at the moment of writing.
> >>
> >> -
> >> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
> >> For additional commands, e-mail: general-h...@incubator.apache.org
> >>
> >>
> >
> >
> > --
> > Deron Eriksson
> > Spark Technology Center
> > http://www.spark.tc/
>
> -
> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
> For additional commands, e-mail: general-h...@incubator.apache.org
>
>


-- 
Deron Eriksson
Spark Technology Center
http://www.spark.tc/

RE: Proposal for an Apache Hama sub-project

[Sachin Ghai]

Thank you Edward Capriolo for willingness to be a mentor and contributor.

We look forward to building a wider community and rev up activity. More 
contributors and mentors are welcome.
'Scalar' project proposal is listed in mail chain below.

Thanks,
Sachin Ghai

https://drive.google.com/file/d/0B7mbLUemi6LFbzFQLXB1Z1p2dm8/view?usp=sharing

-Original Message-
From: Edward Capriolo [mailto:edlinuxg...@gmail.com]
Sent: 02 March 2017 09:05 PM
To: general@incubator.apache.org
Subject: Re: Proposal for an Apache Hama sub-project

On Mon, Feb 27, 2017 at 7:13 PM, Edward J. Yoon 
wrote:

> Thanks for your proposal.
>
> I of course think Apache Hama can be used for scheduling sync and
> async communication/computation networks with various topologies and
> resource allocation. However, I'm not sure whether this approach is
> also fit for modern microservice architecture? In my opinion, this can
> be discussed and cooked in Hama community as a sub-project until it's
> mature enough (CC'ing general@i.a.o. I'll be happy to read more
> feedbacks from ASF incubator community).
>
> P.S., It seems you referred to incubation proposal template. There's
> no need to add me as initial committer (I don't have much time to
> actively contribute to your project). And, I recently quit Samsung
> Electronics and joined to $200 billion sized O2O e-commerce company as
> a CTO.
>
> -Original Message-
> From: Sachin Ghai [mailto:sachin.g...@impetus.co.in]
> Sent: Monday, February 27, 2017 5:16 PM
> To: d...@hama.apache.org
> Subject: Proposal for an Apache Hama sub-project
>
> Hama Community,
>
> I would like to propose a sub-project for Apache Hama and initiate
> discussion around the proposal. The proposed sub-project named
> 'Scalar' is a scalable orchestration, training and serving system for
> machine learning and deep learning. Scalar would leverage Apache Hama
> to automate the distributed training, model deployment and prediction
> serving.
>
> More details about the proposal are listed below as per Apache project
> proposal template:
> Abstract
> Scalar is a general purpose framework for simplifying massive scale
> big data analytics and deep learning modelling, deployment, serving
> with high performance.
> Proposal
> It is a goal of Scalar to provide an abstraction framework which
> allows user to easily scale the functions of training a model,
> deploying a model and serving the prediction from underlying machine
> learning or deep learning framework. It is also the characteristic of
> its execution framework to orchestrate heterogeneous workload graphs
> utilizing Apache Hama, Apache Hadoop, Apache Spark and TensorFlow
> resources.
> Background
> The initial Scalar code was developed in 2016 and has been
> successfully beta tested for one of the largest insurance
> organizations in a client specific PoC. The motivation behind this
> work is to build a framework that provides abstraction on
> heterogeneous data science frameworks and helps users leverage them in
> the most performant way.
> Rationale
> There is a sudden deluge of machine learning and deep learning
> frameworks in the industry. As an application developer, it becomes a
> hard choice to switch from one framework to another without rewriting
> the application.
> Also, there is additional plumbing to be done to retrieve the
> prediction results for each model in different frameworks. We aim to
> provide an abstraction framework which can be used to seamlessly train
> and deploy the model at scale on multiple frameworks like TensorFlow,
> Apache Horn or Caffe.
> The abstraction further provides a unified layer for serving the
> prediction in the most performant, scalable and efficient way for a
> multi-tenant deployment. The key performance metrics will be reduction
> in training time, lower error rate and lower latency time for serving models.
> Scalar consists of a core engine which can be used to create flows
> described in terms of state, sequences and algorithms. The engine
> invokes execution context of Apache Hama to train and deploy models on
> target framework.
> Apache Hama is used for a variety of functions including parameter
> tuning and scheduling computations on a distributed cluster. A data
> object layer provides access to data from heterogeneous sources like
> HDFS, local, S3 etc.
> A REST API layer is utilized for serving the prediction functions to
> client applications. A caching layer in the middle acts as a latency
> improver for various functions.
> Initial Goals
> Some current goals include:
>
>   *   Build community.
>   *   Provide general purpose API for machine learning and deep learning
> training, deployment and serving.
>   *   Serve the predictions with low latency.
>   *   Run massive workloads via Apache Hama on TensorFlow, Apache Spark and
> Caffe.
>   *   Provide CPU and GPU support on-premise or on cloud to run the
> algorithms.
> Current Status
> Meritocracy
> The core developers understand what it means t

Re: SystemML webpage

[Konstantin Boudnik]

Thank you for quick turn around!

Regards,
  Cos
--
  Take care,
Konstantin (Cos) Boudnik


On Thu, Mar 2, 2017 at 11:48 AM, Deron Eriksson  wrote:
> Thank you for finding this Konstantin. We will take care of this to ensure
> we follow the Apache Incubator guidelines.
>
> Our project documentation pages (
> http://systemml.incubator.apache.org/docs/0.12.0/index.html) include
> "(incubating)" but our main website pages (
> https://systemml.incubator.apache.org/) do not include "(incubating)". We
> will fix this.
>
> Thanks!
> Deron
>
>
> On Thu, Mar 2, 2017 at 8:13 AM, Konstantin Boudnik  wrote:
>
>> Hello.
>>
>> I recently came around
>>   https://systemml.incubator.apache.org/
>>
>> and have noticed that the project name doesn't include "(incubating)"
>> tag, which is a requirement for the incubating podlings, IIRC. Can the
>> PPMC address this issue, please?
>>
>> I am Cc'ing general@incubator.apache.org list to make sure this
>> message isn't missed, Of course this isn't a private message.
>> --
>>   Take care,
>> Konstantin (Cos) Boudnik
>> 2CAC 8312 4870 D885 8616  6115 220F 6980 1F27 E622
>>
>> Disclaimer: Opinions expressed in this email are those of the author,
>> and do not necessarily represent the views of any company the author
>> might be affiliated with at the moment of writing.
>>
>> -
>> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
>> For additional commands, e-mail: general-h...@incubator.apache.org
>>
>>
>
>
> --
> Deron Eriksson
> Spark Technology Center
> http://www.spark.tc/

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Re: SystemML webpage

[Deron Eriksson]

Thank you for finding this Konstantin. We will take care of this to ensure
we follow the Apache Incubator guidelines.

Our project documentation pages (
http://systemml.incubator.apache.org/docs/0.12.0/index.html) include
"(incubating)" but our main website pages (
https://systemml.incubator.apache.org/) do not include "(incubating)". We
will fix this.

Thanks!
Deron


On Thu, Mar 2, 2017 at 8:13 AM, Konstantin Boudnik  wrote:

> Hello.
>
> I recently came around
>   https://systemml.incubator.apache.org/
>
> and have noticed that the project name doesn't include "(incubating)"
> tag, which is a requirement for the incubating podlings, IIRC. Can the
> PPMC address this issue, please?
>
> I am Cc'ing general@incubator.apache.org list to make sure this
> message isn't missed, Of course this isn't a private message.
> --
>   Take care,
> Konstantin (Cos) Boudnik
> 2CAC 8312 4870 D885 8616  6115 220F 6980 1F27 E622
>
> Disclaimer: Opinions expressed in this email are those of the author,
> and do not necessarily represent the views of any company the author
> might be affiliated with at the moment of writing.
>
> -
> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
> For additional commands, e-mail: general-h...@incubator.apache.org
>
>


-- 
Deron Eriksson
Spark Technology Center
http://www.spark.tc/

Re: Proposal for an Apache Hama sub-project

[Ted Dunning]

Sub projects are frowned upon. It is possible for a project to graduate as
part of another project from. The incubator, but that is very unusual.
Graduating to a very quiet project like hama would be even more unusual.

A better course would be to simply create a new incubator project. Worry
about building a viable project first. Worry about graduation details
later.



On Mar 2, 2017 7:35 AM, "Edward Capriolo"  wrote:

> On Mon, Feb 27, 2017 at 7:13 PM, Edward J. Yoon 
> wrote:
>
> > Thanks for your proposal.
> >
> > I of course think Apache Hama can be used for scheduling sync and async
> > communication/computation networks with various topologies and resource
> > allocation. However, I'm not sure whether this approach is also fit for
> > modern microservice architecture? In my opinion, this can be discussed
> and
> > cooked in Hama community as a sub-project until it's mature enough
> (CC'ing
> > general@i.a.o. I'll be happy to read more feedbacks from ASF incubator
> > community).
> >
> > P.S., It seems you referred to incubation proposal template. There's no
> > need
> > to add me as initial committer (I don't have much time to actively
> > contribute to your project). And, I recently quit Samsung Electronics and
> > joined to $200 billion sized O2O e-commerce company as a CTO.
> >
> > -Original Message-
> > From: Sachin Ghai [mailto:sachin.g...@impetus.co.in]
> > Sent: Monday, February 27, 2017 5:16 PM
> > To: d...@hama.apache.org
> > Subject: Proposal for an Apache Hama sub-project
> >
> > Hama Community,
> >
> > I would like to propose a sub-project for Apache Hama and initiate
> > discussion around the proposal. The proposed sub-project named 'Scalar'
> is
> > a
> > scalable orchestration, training and serving system for machine learning
> > and
> > deep learning. Scalar would leverage Apache Hama to automate the
> > distributed
> > training, model deployment and prediction serving.
> >
> > More details about the proposal are listed below as per Apache project
> > proposal template:
> > Abstract
> > Scalar is a general purpose framework for simplifying massive scale big
> > data
> > analytics and deep learning modelling, deployment, serving with high
> > performance.
> > Proposal
> > It is a goal of Scalar to provide an abstraction framework which allows
> > user
> > to easily scale the functions of training a model, deploying a model and
> > serving the prediction from underlying machine learning or deep learning
> > framework. It is also the characteristic of its execution framework to
> > orchestrate heterogeneous workload graphs utilizing Apache Hama, Apache
> > Hadoop, Apache Spark and TensorFlow resources.
> > Background
> > The initial Scalar code was developed in 2016 and has been successfully
> > beta
> > tested for one of the largest insurance organizations in a client
> specific
> > PoC. The motivation behind this work is to build a framework that
> provides
> > abstraction on heterogeneous data science frameworks and helps users
> > leverage them in the most performant way.
> > Rationale
> > There is a sudden deluge of machine learning and deep learning frameworks
> > in
> > the industry. As an application developer, it becomes a hard choice to
> > switch from one framework to another without rewriting the application.
> > Also, there is additional plumbing to be done to retrieve the prediction
> > results for each model in different frameworks. We aim to provide an
> > abstraction framework which can be used to seamlessly train and deploy
> the
> > model at scale on multiple frameworks like TensorFlow, Apache Horn or
> > Caffe.
> > The abstraction further provides a unified layer for serving the
> prediction
> > in the most performant, scalable and efficient way for a multi-tenant
> > deployment. The key performance metrics will be reduction in training
> time,
> > lower error rate and lower latency time for serving models.
> > Scalar consists of a core engine which can be used to create flows
> > described
> > in terms of state, sequences and algorithms. The engine invokes execution
> > context of Apache Hama to train and deploy models on target framework.
> > Apache Hama is used for a variety of functions including parameter tuning
> > and scheduling computations on a distributed cluster. A data object layer
> > provides access to data from heterogeneous sources like HDFS, local, S3
> > etc.
> > A REST API layer is utilized for serving the prediction functions to
> client
> > applications. A caching layer in the middle acts as a latency improver
> for
> > various functions.
> > Initial Goals
> > Some current goals include:
> >
> >   *   Build community.
> >   *   Provide general purpose API for machine learning and deep learning
> > training, deployment and serving.
> >   *   Serve the predictions with low latency.
> >   *   Run massive workloads via Apache Hama on TensorFlow, Apache Spark
> and
> > Caffe.
> >   *   Provide CPU and GPU support on-premise or on cloud to run 

Re: SystemML webpage

[Konstantin Boudnik]

Hello.

I recently came around
  https://systemml.incubator.apache.org/

and have noticed that the project name doesn't include "(incubating)"
tag, which is a requirement for the incubating podlings, IIRC. Can the
PPMC address this issue, please?

I am Cc'ing general@incubator.apache.org list to make sure this
message isn't missed, Of course this isn't a private message.
--
  Take care,
Konstantin (Cos) Boudnik
2CAC 8312 4870 D885 8616  6115 220F 6980 1F27 E622

Disclaimer: Opinions expressed in this email are those of the author,
and do not necessarily represent the views of any company the author
might be affiliated with at the moment of writing.

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Re: Proposal for an Apache Hama sub-project

[Edward Capriolo]

On Mon, Feb 27, 2017 at 7:13 PM, Edward J. Yoon 
wrote:

> Thanks for your proposal.
>
> I of course think Apache Hama can be used for scheduling sync and async
> communication/computation networks with various topologies and resource
> allocation. However, I'm not sure whether this approach is also fit for
> modern microservice architecture? In my opinion, this can be discussed and
> cooked in Hama community as a sub-project until it's mature enough (CC'ing
> general@i.a.o. I'll be happy to read more feedbacks from ASF incubator
> community).
>
> P.S., It seems you referred to incubation proposal template. There's no
> need
> to add me as initial committer (I don't have much time to actively
> contribute to your project). And, I recently quit Samsung Electronics and
> joined to $200 billion sized O2O e-commerce company as a CTO.
>
> -Original Message-
> From: Sachin Ghai [mailto:sachin.g...@impetus.co.in]
> Sent: Monday, February 27, 2017 5:16 PM
> To: d...@hama.apache.org
> Subject: Proposal for an Apache Hama sub-project
>
> Hama Community,
>
> I would like to propose a sub-project for Apache Hama and initiate
> discussion around the proposal. The proposed sub-project named 'Scalar' is
> a
> scalable orchestration, training and serving system for machine learning
> and
> deep learning. Scalar would leverage Apache Hama to automate the
> distributed
> training, model deployment and prediction serving.
>
> More details about the proposal are listed below as per Apache project
> proposal template:
> Abstract
> Scalar is a general purpose framework for simplifying massive scale big
> data
> analytics and deep learning modelling, deployment, serving with high
> performance.
> Proposal
> It is a goal of Scalar to provide an abstraction framework which allows
> user
> to easily scale the functions of training a model, deploying a model and
> serving the prediction from underlying machine learning or deep learning
> framework. It is also the characteristic of its execution framework to
> orchestrate heterogeneous workload graphs utilizing Apache Hama, Apache
> Hadoop, Apache Spark and TensorFlow resources.
> Background
> The initial Scalar code was developed in 2016 and has been successfully
> beta
> tested for one of the largest insurance organizations in a client specific
> PoC. The motivation behind this work is to build a framework that provides
> abstraction on heterogeneous data science frameworks and helps users
> leverage them in the most performant way.
> Rationale
> There is a sudden deluge of machine learning and deep learning frameworks
> in
> the industry. As an application developer, it becomes a hard choice to
> switch from one framework to another without rewriting the application.
> Also, there is additional plumbing to be done to retrieve the prediction
> results for each model in different frameworks. We aim to provide an
> abstraction framework which can be used to seamlessly train and deploy the
> model at scale on multiple frameworks like TensorFlow, Apache Horn or
> Caffe.
> The abstraction further provides a unified layer for serving the prediction
> in the most performant, scalable and efficient way for a multi-tenant
> deployment. The key performance metrics will be reduction in training time,
> lower error rate and lower latency time for serving models.
> Scalar consists of a core engine which can be used to create flows
> described
> in terms of state, sequences and algorithms. The engine invokes execution
> context of Apache Hama to train and deploy models on target framework.
> Apache Hama is used for a variety of functions including parameter tuning
> and scheduling computations on a distributed cluster. A data object layer
> provides access to data from heterogeneous sources like HDFS, local, S3
> etc.
> A REST API layer is utilized for serving the prediction functions to client
> applications. A caching layer in the middle acts as a latency improver for
> various functions.
> Initial Goals
> Some current goals include:
>
>   *   Build community.
>   *   Provide general purpose API for machine learning and deep learning
> training, deployment and serving.
>   *   Serve the predictions with low latency.
>   *   Run massive workloads via Apache Hama on TensorFlow, Apache Spark and
> Caffe.
>   *   Provide CPU and GPU support on-premise or on cloud to run the
> algorithms.
> Current Status
> Meritocracy
> The core developers understand what it means to have a process based on
> meritocracy. We will provide continuous efforts to build an environment
> that
> supports this, encouraging community members to contribute.
> Community
> A small community has formed within the Apache Hama project community and
> companies such as enterprise services and product company and artificial
> intelligence startup. There is a lot of interest in data science serving
> systems and Artificial intelligence simplification systems. By bringing
> Scalar into Apache, we believe that the community w

Re: [DISCUSS] Apache CarbonData podling graduation

[Jean-Baptiste Onofré]

Thanks Liang,

I forgot the patch release !

Regards
JB

On 03/02/2017 02:47 PM, Liang Chen wrote:

Hi

Thanks JB and John.

A little update from my side :
There are 4 releases, detail at :
http://archive.apache.org/dist/incubator/carbondata/
and 4 new committers(ravipesala,gvramana,kumarvishal09,Hexiaoqiao), here is
the detail of PPMC and committers :
https://cwiki.apache.org/confluence/display/CARBONDATA/PPMC+and+Committers+member+list.
Yes, No new PPMC members.

Regards
Liang


Jean-Baptiste Onofré wrote

Hi John,

You are right for maturity model. However, we used more as a checklist ;)

It's actually 3 releases and 4 new committers (I'm updating the podling
XML now). No new PPMC members.

Regards
JB

On 03/02/2017 02:23 PM, John D. Ament wrote:

I'd be happy to see you guys graduate. I'll point out that the maturity
model is not a requirement for graduation.  I see that you had 2
releases,
and 3 new committers.  No new PPMC members?

John

On Thu, Mar 2, 2017 at 1:49 AM Jean-Baptiste Onofré <



jb@



> wrote:



Hi all,

Apache CarbonData started incubation in June '16. CarbonData did (and
still doing) great moves: several releases, website, documentation, new
features, community grow, new committers.

I think it's time to discuss the graduation of CarbonData.

To prepare this discussion, I prepared a self-assessment against the
Maturity Model:

https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=68714623

You can find the discussion between the PPMC, including some numbers
about the podling activity here:


http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/DISCUSS-Graduation-to-a-TLP-Top-Level-Project-td7715.html

If we were to graduate, the CarbonData PPMC recommends the following
information for the Board resolution:
 * Project Name: Apache CarbonData
 * Project description and scope: Apache CarbonData is an
indexed columnar data format for fast analytics on big data platform,
e.g. Apache Hadoop, Apache Spark, etc.
 * PMC composition:
 * Liang Chen
 * Jean-Baptiste Onofré
 * Henry Saputra
 * Uma Maheswara Rao G
 * Jenny MA
 * Jacky Li
 * Vimal Das Kammath
 * Jarray Qiu

Any thoughts, comments, questions ?

Thanks !

Regards
JB
--
Jean-Baptiste Onofré




jbonofre@



http://blog.nanthrax.net
Talend - http://www.talend.com

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For additional commands, e-mail:



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--
Jean-Baptiste Onofré



jbonofre@



http://blog.nanthrax.net
Talend - http://www.talend.com

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jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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Re: [DISCUSS] Apache CarbonData podling graduation

[Liang Chen]

Hi 

Thanks JB and John.

A little update from my side :
There are 4 releases, detail at :
http://archive.apache.org/dist/incubator/carbondata/
and 4 new committers(ravipesala,gvramana,kumarvishal09,Hexiaoqiao), here is
the detail of PPMC and committers :
https://cwiki.apache.org/confluence/display/CARBONDATA/PPMC+and+Committers+member+list.
Yes, No new PPMC members.

Regards
Liang


Jean-Baptiste Onofré wrote
> Hi John,
> 
> You are right for maturity model. However, we used more as a checklist ;)
> 
> It's actually 3 releases and 4 new committers (I'm updating the podling 
> XML now). No new PPMC members.
> 
> Regards
> JB
> 
> On 03/02/2017 02:23 PM, John D. Ament wrote:
>> I'd be happy to see you guys graduate. I'll point out that the maturity
>> model is not a requirement for graduation.  I see that you had 2
>> releases,
>> and 3 new committers.  No new PPMC members?
>>
>> John
>>
>> On Thu, Mar 2, 2017 at 1:49 AM Jean-Baptiste Onofré <

> jb@

> > wrote:
>>
>>> Hi all,
>>>
>>> Apache CarbonData started incubation in June '16. CarbonData did (and
>>> still doing) great moves: several releases, website, documentation, new
>>> features, community grow, new committers.
>>>
>>> I think it's time to discuss the graduation of CarbonData.
>>>
>>> To prepare this discussion, I prepared a self-assessment against the
>>> Maturity Model:
>>>
>>> https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=68714623
>>>
>>> You can find the discussion between the PPMC, including some numbers
>>> about the podling activity here:
>>>
>>>
>>> http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/DISCUSS-Graduation-to-a-TLP-Top-Level-Project-td7715.html
>>>
>>> If we were to graduate, the CarbonData PPMC recommends the following
>>> information for the Board resolution:
>>>  * Project Name: Apache CarbonData
>>>  * Project description and scope: Apache CarbonData is an
>>> indexed columnar data format for fast analytics on big data platform,
>>> e.g. Apache Hadoop, Apache Spark, etc.
>>>  * PMC composition:
>>>  * Liang Chen
>>>  * Jean-Baptiste Onofré
>>>  * Henry Saputra
>>>  * Uma Maheswara Rao G
>>>  * Jenny MA
>>>  * Jacky Li
>>>  * Vimal Das Kammath
>>>  * Jarray Qiu
>>>
>>> Any thoughts, comments, questions ?
>>>
>>> Thanks !
>>>
>>> Regards
>>> JB
>>> --
>>> Jean-Baptiste Onofré
>>> 

> jbonofre@

>>> http://blog.nanthrax.net
>>> Talend - http://www.talend.com
>>>
>>> -
>>> To unsubscribe, e-mail: 

> general-unsubscribe@.apache

>>> For additional commands, e-mail: 

> general-help@.apache

>>>
>>>
>>
> 
> -- 
> Jean-Baptiste Onofré

> jbonofre@

> http://blog.nanthrax.net
> Talend - http://www.talend.com
> 
> -
> To unsubscribe, e-mail: 

> general-unsubscribe@.apache

> For additional commands, e-mail: 

> general-help@.apache





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Re: [DISCUSS] Apache CarbonData podling graduation

[Jean-Baptiste Onofré]

Hi John,

You are right for maturity model. However, we used more as a checklist ;)

It's actually 3 releases and 4 new committers (I'm updating the podling 
XML now). No new PPMC members.


Regards
JB

On 03/02/2017 02:23 PM, John D. Ament wrote:

I'd be happy to see you guys graduate. I'll point out that the maturity
model is not a requirement for graduation.  I see that you had 2 releases,
and 3 new committers.  No new PPMC members?

John

On Thu, Mar 2, 2017 at 1:49 AM Jean-Baptiste Onofré  wrote:


Hi all,

Apache CarbonData started incubation in June '16. CarbonData did (and
still doing) great moves: several releases, website, documentation, new
features, community grow, new committers.

I think it's time to discuss the graduation of CarbonData.

To prepare this discussion, I prepared a self-assessment against the
Maturity Model:

https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=68714623

You can find the discussion between the PPMC, including some numbers
about the podling activity here:


http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/DISCUSS-Graduation-to-a-TLP-Top-Level-Project-td7715.html

If we were to graduate, the CarbonData PPMC recommends the following
information for the Board resolution:
 * Project Name: Apache CarbonData
 * Project description and scope: Apache CarbonData is an
indexed columnar data format for fast analytics on big data platform,
e.g. Apache Hadoop, Apache Spark, etc.
 * PMC composition:
 * Liang Chen
 * Jean-Baptiste Onofré
 * Henry Saputra
 * Uma Maheswara Rao G
 * Jenny MA
 * Jacky Li
 * Vimal Das Kammath
 * Jarray Qiu

Any thoughts, comments, questions ?

Thanks !

Regards
JB
--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
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--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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Re: [DISCUSS] Apache CarbonData podling graduation

[John D. Ament]

I'd be happy to see you guys graduate. I'll point out that the maturity
model is not a requirement for graduation.  I see that you had 2 releases,
and 3 new committers.  No new PPMC members?

John

On Thu, Mar 2, 2017 at 1:49 AM Jean-Baptiste Onofré  wrote:

> Hi all,
>
> Apache CarbonData started incubation in June '16. CarbonData did (and
> still doing) great moves: several releases, website, documentation, new
> features, community grow, new committers.
>
> I think it's time to discuss the graduation of CarbonData.
>
> To prepare this discussion, I prepared a self-assessment against the
> Maturity Model:
>
> https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=68714623
>
> You can find the discussion between the PPMC, including some numbers
> about the podling activity here:
>
>
> http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/DISCUSS-Graduation-to-a-TLP-Top-Level-Project-td7715.html
>
> If we were to graduate, the CarbonData PPMC recommends the following
> information for the Board resolution:
>  * Project Name: Apache CarbonData
>  * Project description and scope: Apache CarbonData is an
> indexed columnar data format for fast analytics on big data platform,
> e.g. Apache Hadoop, Apache Spark, etc.
>  * PMC composition:
>  * Liang Chen
>  * Jean-Baptiste Onofré
>  * Henry Saputra
>  * Uma Maheswara Rao G
>  * Jenny MA
>  * Jacky Li
>  * Vimal Das Kammath
>  * Jarray Qiu
>
> Any thoughts, comments, questions ?
>
> Thanks !
>
> Regards
> JB
> --
> Jean-Baptiste Onofré
> jbono...@apache.org
> http://blog.nanthrax.net
> Talend - http://www.talend.com
>
> -
> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
> For additional commands, e-mail: general-h...@incubator.apache.org
>
>