Re: [ANNOUNCE] Apache Hive 1.0.0 Released

2015-02-05 Thread
Congrats! Great job!

Thanks,
Zhuoluo (Clark) Yang

2015-02-05 6:07 GMT+08:00 Vikram Dixit K :

> The Apache Hive team is proud to announce the the release of Apache
> Hive version 1.0.0.
>
> The Apache Hive (TM) data warehouse software facilitates querying and
> managing large datasets residing in distributed storage. Built on top
> of Apache Hadoop (TM), it provides:
>
> * Tools to enable easy data extract/transform/load (ETL)
>
> * A mechanism to impose structure on a variety of data formats
>
> * Access to files stored either directly in Apache HDFS (TM) or in other
>   data storage systems such as Apache HBase (TM)
>
> * Query execution via Apache Hadoop MapReduce and Apache Tez frameworks.
>
> For Hive release details and downloads, please
> visit:https://hive.apache.org/downloads.html
>
> Hive 1.0.0 Release Notes are available here:
>
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12329278&styleName=Text&projectId=12310843
>
>
> We would like to thank the many contributors who made this release
> possible.
>
> Regards,
>
> The Apache Hive Team
>


Re: [ANNOUNCE] Apache Hive 0.14.0 Released

2014-11-16 Thread
Great job! Congrats!

Thanks,
Zhuoluo (Clark) Yang

2014-11-13 8:55 GMT+08:00 Gunther Hagleitner :

> The Apache Hive team is proud to announce the the release of Apache
> Hive version 0.14.0.
>
> The Apache Hive (TM) data warehouse software facilitates querying and
> managing large datasets residing in distributed storage. Built on top
> of Apache Hadoop (TM), it provides:
>
> * Tools to enable easy data extract/transform/load (ETL).
>
> * A mechanism to impose structure on a variety of data formats.
>
> * Access to files stored either directly in Apache HDFS (TM) or in other data 
> storage systems such as Apache HBase (TM) or Apache Accumulo (TM).
>
> * Query execution via Apache Hadoop MapReduce and Apache Tez frameworks.
>
> * Cost-based query planning via Apache Calcite
>
>
> For Hive release details and downloads, please 
> visit:http://hive.apache.org/releases.html
>
> Hive 0.14.0 Release Notes are available here: 
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12326450&styleName=Text&projectId=12310843
>
> We would like to thank the many contributors who made this release
> possible.
>
> Regards,
>
> The Apache Hive Team
>
>


Re: [ANNOUNCE] New Hive PMC Member - Xuefu Zhang

2014-02-28 Thread
Congrats, Xuefu!

Thanks,
Zhuoluo (Clark) Yang


2014-02-28 19:19 GMT+08:00 Lianhui Wang :

> Congrats Xuefu!
>
>
> 2014-02-28 17:49 GMT+08:00 Jason Dere :
>
> > Congrats Xuefu!
> >
> >
> > On Feb 28, 2014, at 1:43 AM, Biswajit Nayak 
> > wrote:
> >
> > > Congrats Xuefu..
> > >
> > > With Best Regards
> > > Biswajit
> > >
> > > ~Biswa
> > > -oThe important thing is not to stop questioning o-
> > >
> > >
> > > On Fri, Feb 28, 2014 at 2:50 PM, Carl Steinbach 
> wrote:
> > > I am pleased to announce that Xuefu Zhang has been elected to the Hive
> > Project Management Committee. Please join me in congratulating Xuefu!
> > >
> > > Thanks.
> > >
> > > Carl
> > >
> > >
> > >
> > > _
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>
>
> --
> thanks
>
> 王联辉(Lianhui Wang)
> blog; http://blog.csdn.net/lance_123
> 兴趣方向:数据库,分布式,数据挖掘,编程语言,互联网技术等
>


Re: [ANNOUNCE] New Hive PMC Member - Gunther Hagleitner

2013-12-27 Thread
Congrats Gunther!

Cheers,
Zhuoluo (Clark) Yang


2013/12/28 Biswajit Nayak 

> Congratulations Gunther...
>
>
> On Fri, Dec 27, 2013 at 7:20 PM, Prasanth Jayachandran <
> pjayachand...@hortonworks.com> wrote:
>
>> Congrats Gunther!!
>>
>> Sent from my iPhone
>>
>> > On Dec 27, 2013, at 4:46 PM, Lefty Leverenz 
>> wrote:
>> >
>> > Congratulations Gunther, well deserved!
>> >
>> > -- Lefty
>> >
>> >
>> > On Fri, Dec 27, 2013 at 12:00 AM, Jarek Jarcec Cecho > >wrote:
>> >
>> >> Congratulations Gunther, good job!
>> >>
>> >> Jarcec
>> >>
>> >>> On Thu, Dec 26, 2013 at 08:59:37PM -0800, Carl Steinbach wrote:
>> >>> I am pleased to announce that Gunther Hagleitner has been elected to
>> the
>> >>> Hive Project Management Committee. Please join me in congratulating
>> >> Gunther!
>> >>>
>> >>> Thanks.
>> >>>
>> >>> Carl
>> >>
>>
>> --
>> CONFIDENTIALITY NOTICE
>> NOTICE: This message is intended for the use of the individual or entity
>> to
>> which it is addressed and may contain information that is confidential,
>> privileged and exempt from disclosure under applicable law. If the reader
>> of this message is not the intended recipient, you are hereby notified
>> that
>> any printing, copying, dissemination, distribution, disclosure or
>> forwarding of this communication is strictly prohibited. If you have
>> received this communication in error, please contact the sender
>> immediately
>> and delete it from your system. Thank You.
>>
>
>
> _
> The information contained in this communication is intended solely for the
> use of the individual or entity to whom it is addressed and others
> authorized to receive it. It may contain confidential or legally privileged
> information. If you are not the intended recipient you are hereby notified
> that any disclosure, copying, distribution or taking any action in reliance
> on the contents of this information is strictly prohibited and may be
> unlawful. If you have received this communication in error, please notify
> us immediately by responding to this email and then delete it from your
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> receipt.


Re: [ANNOUNCE] New Hive PMC Member - Harish Butani

2013-11-14 Thread
Congrats, Harish!

Cheers,
Zhuoluo (Clark) Yang


2013/11/15 Carl Steinbach 

> I am pleased to announce that Harish Butani has been elected to the Hive
> Project Management Committee. Please join me in congratulating Harish!
>
> Thanks.
>
> Carl
>


Re: [ANN] Hivemall: Hive scalable machine learning library

2013-10-10 Thread
I looks really cool, I think I will try it on.

Cheers,
Zhuoluo (Clark) Yang


2013/10/5 Makoto YUI 

> Hi Edward,
>
> Thank you for your interst.
>
> Hivemall project does not have a plan to have a specific mailing list, I
> will answer following questions/comments on twitter or through Github
> issues (with a question label).
>
> BTW, I just added a CTR (Click-Through-Rate) prediction example that is
> provided by a commercial search engine provider for the KDDCup 2012 track
> 2.
> https://github.com/myui/**hivemall/wiki/KDDCup-2012-**
> track-2-CTR-prediction-dataset
>
> I guess many of you working on ad CTR/CVR predictions. This example might
> be some help understanding how to do it only within Hive.
>
> Thanks,
> Makoto @myui
>
>
> (2013/10/04 23:02), Edward Capriolo wrote:
>
>> Looks cool im already starting to play with it.
>>
>> On Friday, October 4, 2013, Makoto Yui > > wrote:
>>  > Hi Dean,
>>  >
>>  > Thank you for your interest in Hivemall.
>>  >
>>  > Twitter's paper actually influenced me in developing Hivemall and I
>>  > initially implemented such functionality as Pig UDFs.
>>  >
>>  > Though my Pig ML library is not released, you can find a similar
>>  > attempt for Pig in
>>  > 
>> https://github.com/y-tag/java-**pig-MyUDFs
>>  >
>>  > Thanks,
>>  > Makoto
>>  >
>>  > 2013/10/3 Dean Wampler > **>:
>>
>>  >> This is great news! I know that Twitter has done something similar
>> with UDFs
>>  >> for Pig, as described in this paper:
>>  >>
>> http://www.umiacs.umd.edu/~**jimmylin/publications/Lin_**
>> Kolcz_SIGMOD2012.pdf<
>> http://www.umiacs.umd.edu/%**7Ejimmylin/publications/Lin_**
>> Kolcz_SIGMOD2012.pdf
>> >
>>
>>  >>
>>  >> I'm glad to see the same thing start with Hive.
>>  >>
>>  >> Dean
>>  >>
>>  >>
>>  >> On Wed, Oct 2, 2013 at 10:21 AM, Makoto YUI > > wrote:
>>  >>>
>>  >>> Hello all,
>>  >>>
>>  >>> My employer, AIST, has given the thumbs up to open source our machine
>>  >>> learning library, named Hivemall.
>>  >>>
>>  >>> Hivemall is a scalable machine learning library running on
>> Hive/Hadoop,
>>  >>> licensed under the LGPL 2.1.
>>  >>>
>>  >>> https://github.com/myui/**hivemall
>>  >>>
>>  >>> Hivemall provides machine learning functionality as well as feature
>>  >>> engineering functions through UDFs/UDAFs/UDTFs of Hive. It is
>> designed
>>  >>> to be scalable to the number of training instances as well as the
>> number
>>  >>> of training features.
>>  >>>
>>  >>> Hivemall is very easy to use as every machine learning step is done
>>  >>> within HiveQL.
>>  >>>
>>  >>> -- Installation is just as follows:
>>  >>> add jar /tmp/hivemall.jar;
>>  >>> source /tmp/define-all.hive;
>>  >>>
>>  >>> -- Logistic regression is performed by a query.
>>  >>> SELECT
>>  >>>   feature,
>>  >>>   avg(weight) as weight
>>  >>> FROM
>>  >>>  (SELECT logress(features,label) as (feature,weight) FROM
>>  >>> training_features) t
>>  >>> GROUP BY feature;
>>  >>>
>>  >>> You can find detailed examples on our wiki pages.
>>  >>> 
>> https://github.com/myui/**hivemall/wiki/_pages
>>  >>>
>>  >>> Though we consider that Hivemall is much easier to use and more
>> scalable
>>  >>> than Mahout for classification/regression tasks, please check it by
>>  >>> yourself. If you have a Hive environment, you can evaluate Hivemall
>>  >>> within 5 minutes or so.
>>  >>>
>>  >>> Hope you enjoy the release! Feedback (and pull request) is always
>> welcome.
>>  >>>
>>  >>> Thank you,
>>  >>> Makoto
>>  >>
>>  >>
>>  >>
>>  >>
>>  >> --
>>  >> Dean Wampler, Ph.D.
>>  >> @deanwampler
>>  >> http://polyglotprogramming.com
>>  >
>>
>
>


Re: [ANNOUNCE] New Hive Committer - Thejas Nair

2013-08-20 Thread
Congrats Thejas!

在 2013年8月20日星期二,Carl Steinbach 写道:

> The Apache Hive PMC has voted to make Thejas Nair a committer on the Apache
> Hive project.
>
> Please join me in congratulating Thejas!
>