Hello!
Please join Nuria Ruiz and Andrew Otto next Tuesday, July 15th at 10am SF time/5pm UTC http://www.timeanddate.com/worldclock/fixedtime.html?msg=Analytics+Tech+Talk&iso=20140715T10&p1=224&am=30 for a 30 min tech talk. You can join our hangout or follow along on youtube: https://plus.google.com/u/0/b/103470172168784626509/events/c53ho5esd0luccd09... (please note that a link to join the hangout will be posted in the comments of this event just as it starts).
You can follow ask questions on IRC during the talk in #wikimedia-dev.
If you are not able to follow along live, a video recording will be posted here https://plus.google.com/u/0/b/103470172168784626509/103470172168784626509/videos, to the MediaWiki YouTube channel immediately following the tech talk for you to view at any time.
More information about the tech talk:
*Hadoop and Beyond. An overview of Analytics infrastructure*In this tech talk we will be presenting the analytics infrastructure that we have recently rolled out in production. By now probably everybody knows that wikimedia hosts an instance of hadoop from which we are going to extract pageview data in the near future. But .. how exactly does the data get there?
We will go over the path that webrequest log data takes from varnish to kafka (a distributed log buffer) to hadoop and the challenges of deploying this java-based infrastructure in production. We will also talk about how can we query the data with hive, an SQL-like interface. How can you set up this stack on vagrant to play with and, last but not least, how we used hive recently to provide GLAM folks with image view stats: https://commons.wikimedia.org/wiki/Commons:GLAMwiki_Toolset_Project/NARA_ana...
Thanks!
This Tech Talk will be starting in 30 minuets. Thanks!
On Fri, Jul 11, 2014 at 3:30 PM, Rachel Farrand rfarrand@wikimedia.org wrote:
Hello!
Please join Nuria Ruiz and Andrew Otto next Tuesday, July 15th at 10am SF time/5pm UTC http://www.timeanddate.com/worldclock/fixedtime.html?msg=Analytics+Tech+Talk&iso=20140715T10&p1=224&am=30 for a 30 min tech talk. You can join our hangout or follow along on youtube: https://plus.google.com/u/0/b/103470172168784626509/events/c53ho5esd0luccd09... (please note that a link to join the hangout will be posted in the comments of this event just as it starts).
You can follow ask questions on IRC during the talk in #wikimedia-dev.
If you are not able to follow along live, a video recording will be posted here https://plus.google.com/u/0/b/103470172168784626509/103470172168784626509/videos, to the MediaWiki YouTube channel immediately following the tech talk for you to view at any time.
More information about the tech talk:
*Hadoop and Beyond. An overview of Analytics infrastructure*In this tech talk we will be presenting the analytics infrastructure that we have recently rolled out in production. By now probably everybody knows that wikimedia hosts an instance of hadoop from which we are going to extract pageview data in the near future. But .. how exactly does the data get there?
We will go over the path that webrequest log data takes from varnish to kafka (a distributed log buffer) to hadoop and the challenges of deploying this java-based infrastructure in production. We will also talk about how can we query the data with hive, an SQL-like interface. How can you set up this stack on vagrant to play with and, last but not least, how we used hive recently to provide GLAM folks with image view stats: https://commons.wikimedia.org/wiki/Commons:GLAMwiki_Toolset_Project/NARA_ana...
Thanks!
Thanks for this. Forwarding to Analytics and Research for others who are curious.
Pine
On Tue, Jul 15, 2014 at 9:29 AM, Rachel Farrand rfarrand@wikimedia.org wrote:
This Tech Talk will be starting in 30 minuets. Thanks!
On Fri, Jul 11, 2014 at 3:30 PM, Rachel Farrand rfarrand@wikimedia.org wrote:
Hello!
Please join Nuria Ruiz and Andrew Otto next Tuesday, July 15th at 10am SF time/5pm UTC <
http://www.timeanddate.com/worldclock/fixedtime.html?msg=Analytics+Tech+Talk...
for a 30 min tech talk. You can join our hangout or follow along on youtube:
https://plus.google.com/u/0/b/103470172168784626509/events/c53ho5esd0luccd09...
(please note that a link to join the hangout will be posted in the
comments
of this event just as it starts).
You can follow ask questions on IRC during the talk in #wikimedia-dev.
If you are not able to follow along live, a video recording will be
posted
here <
https://plus.google.com/u/0/b/103470172168784626509/103470172168784626509/vi...
, to the MediaWiki YouTube channel immediately following the tech talk for you to view at any time.
More information about the tech talk:
*Hadoop and Beyond. An overview of Analytics infrastructure*In this tech talk we will be presenting the analytics infrastructure that we have recently rolled out in production. By now probably everybody knows that wikimedia hosts an instance of hadoop from which we are going to extract pageview data in the near future. But .. how exactly does the data get there?
We will go over the path that webrequest log data takes from varnish to kafka (a distributed log buffer) to hadoop and the challenges of
deploying
this java-based infrastructure in production. We will also talk about how can we query the data with hive, an SQL-like interface. How can you set
up
this stack on vagrant to play with and, last but not least, how we used hive recently to provide GLAM folks with image view stats:
https://commons.wikimedia.org/wiki/Commons:GLAMwiki_Toolset_Project/NARA_ana...
Thanks!
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