On 02/25/2015 01:01 PM, James Taylor wrote:
No HBase, Phoenix, Drill, or Cassandra talks and 6 Tika talks, 5 Spark
talks, 3 Cordova talks, 3 ODT talks? IMHO, seems out of balance.
With 126 conference sessions and 161 TLPs, it is simply impossible to
represent every project, and so we have to make some decisions, and we
need help from the community to make those decisions.
I asked - no, begged - for people to step up to craft the content. The
people (and the projects) that responded to that request are more
represented than those that didn't.
On Thu, Feb 19, 2015 at 6:16 AM, Ross Gardler (MS OPEN TECH)
<ross.gard...@microsoft.com> wrote:
I covered that in a separate mail. In the end I left your track untouched. I've recorded
it in the spreadsheet as a "container" track for you.
Ross
-----Original Message-----
From: Joe Brockmeier [mailto:j...@zonker.net]
Sent: Thursday, February 19, 2015 6:15 AM
To: dev@community.apache.org
Subject: Re: Cloud, Big Data and DevOps tracks
What happened with the container track? I don't see that reflected in the
"Cloud" track.
On Thu, Feb 19, 2015, at 12:23 AM, Ross Gardler (MS OPEN TECH) wrote:
I've put together three tracks (if there is space), if not then we can
talk about which ones are the best and put all other sessions on the
wait list.
If there is more space I also have a DevOps track we could use (it's
currently short one session though I have plenty of Devops sessions I
could throw in to fill it out).
The tracks are:
Cloud
-------
Operating CloudStack: sharing my tool box Building Primary Storage
with Ceph Guaranteeing Storage Performance in CloudStack Introduction
to Apache jclouds Replatforming the Cloud and Datacenter with Apache
Mesos Scaling Hadoop In and Out of the Private Cloud
Big Data: Technologies
----------------------------
Apache Slider makes running applications on YARN a breeze Apache
Flink: Fast and reliable large-scale data processing Introduction to
Apache Kafka Keep Me in the Loop: INotify in the Apache Hadoop
Distributed Filesystem Significantly speedup real-world big data
applications using Apache Spark Apache Bigtop: in-memory analytic
software stack .Next
Big Data: Big Picture
-------------------------
Kafka at Scale: Multi-Tier Architectures From MapReduce to Spark with
Apache Crunch Letters from the Trenches: Behind the scenes with Hive
at Yahoo Delivering Systems of Insight by leveraging the Hadoop
Ecosystem Get Faster Data Flows with Spring, Hadoop and Hive Real-time
Big Data Analytics with Apache Spark and Apache Solr
Ross
Best,
jzb
--
Joe Brockmeier
j...@zonker.net
Twitter: @jzb
http://www.dissociatedpress.net/
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http://apachecon.com/ - @apachecon
