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Date: Thu, 19 Feb 2015 08:11:09 +0100
Message-ID: 
 <CAK2iWdS6p3Y4NbjGRNGcMzX66h9himqmM4khz44VLt8wfy5SiA@mail.gmail.com>
Subject: Re: Cloud, Big Data and DevOps tracks
From: jan i <jani@apache.org>
To: "dev@community.apache.org" <dev@community.apache.org>
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hi

Looks real good.

There might be a need to cut down as far as I can judge, but since these
track form a big part of ACNA, we really need a higher number of
wait-listed tasks.

just for info, adding the row# from the spreadsheet, helps the postprocess
work.

rgds
jan i

On Thursday, February 19, 2015, Ross Gardler (MS OPEN TECH) <
Ross.Gardler@microsoft.com> wrote:

> Formatting is screwy, here's a more readable version of below:
>
> 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
>
>
> -----Original Message-----
> From: Ross Gardler (MS OPEN TECH) [mailto:Ross.Gardler@microsoft.com
> <javascript:;>]
> Sent: Wednesday, February 18, 2015 10:24 PM
> To: dev@community.apache.org <javascript:;>
> Subject: Cloud, Big Data and DevOps tracks
>
> 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
>
>

-- 
Sent from My iPad, sorry for any misspellings.

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