On 19 February 2015 at 09:03, Ross Gardler (MS OPEN TECH) < ross.gard...@microsoft.com> wrote:
> Don't go cutting without discussing with me. I'm trying to build a > narrative here. I'm happy to cut for space, but I want to be the one who > decides (recommendations welcome). Happy to jump on IRC to speed the > process. > Of course NOT you made the tracks, you make the decisions....just wanted to point out the need to do so. IRC might be good, when both you and Rich are awake. Have a good nights sleep. rgds jan i. > > Will try to do row numbers tomorrow (bed now) > Its just a convinience, search for the track names works too, just a bit more clicks. > > Sent from my Windows Phone > ________________________________ > From: jan i<mailto:j...@apache.org> > Sent: 2/18/2015 11:11 PM > To: dev@community.apache.org<mailto:dev@community.apache.org> > Subject: Re: Cloud, Big Data and DevOps tracks > > 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.gard...@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.gard...@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. >
