Repository: incubator-crail-website
Updated Branches:
  refs/heads/asf-site b5e1c7cb6 -> 8972804a2


Publishing from f99ff9c27550b87f39b5dc6739f076f1153b2117


Project: http://git-wip-us.apache.org/repos/asf/incubator-crail-website/repo
Commit: 
http://git-wip-us.apache.org/repos/asf/incubator-crail-website/commit/8972804a
Tree: 
http://git-wip-us.apache.org/repos/asf/incubator-crail-website/tree/8972804a
Diff: 
http://git-wip-us.apache.org/repos/asf/incubator-crail-website/diff/8972804a

Branch: refs/heads/asf-site
Commit: 8972804a28a18690da6cd76bb4ccf0edc2524dd6
Parents: b5e1c7c
Author: Animesh Trivedi <atriv...@apache.org>
Authored: Mon Oct 22 15:30:55 2018 +0200
Committer: Animesh Trivedi <atriv...@apache.org>
Committed: Mon Oct 22 15:30:55 2018 +0200

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 content/documentation/index.html    |   1 +
 content/feed.xml                    |   2 +-
 content/files/crail-project-web.pdf | Bin 0 -> 1323445 bytes
 3 files changed, 2 insertions(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/incubator-crail-website/blob/8972804a/content/documentation/index.html
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diff --git a/content/documentation/index.html b/content/documentation/index.html
index 3618964..1da8b79 100644
--- a/content/documentation/index.html
+++ b/content/documentation/index.html
@@ -78,6 +78,7 @@
 
 <h2 id="presentations">Presentations</h2>
 <ul>
+  <li><a href="//crail.incubator.apache.org/files/crail-project-web.pdf">Data 
Processing at the Speed of 100 Gbps using Apache Crail (Incubating)</a>, ETH 
Zurich, September, 2018.</li>
   <li><a 
href="https://databricks.com/session/serverless-machine-learning-on-modern-hardware-using-apache-spark";>Serverless
 Machine Learning on Modern Hardware Using Apache Spark</a>, Spark AI Summit, 
2018.</li>
   <li><a 
href="https://dataworkssummit.com/san-jose-2018/session/data-processing-at-the-speed-of-100-gbpsapache-crail-incubating/";>Data
 processing at the speed of 100 Gbps@Apache Crail (Incubating)</a>, DataWorks 
Summit, 2018.</li>
   <li><a 
href="https://databricks.com/session/running-apache-spark-on-a-high-performance-cluster-using-rdma-and-nvme-flash";>Running
 Apache Spark on a High-Performance Cluster Using RDMA and NVMe Flash</a>, 
Spark Summit 2017.</li>

http://git-wip-us.apache.org/repos/asf/incubator-crail-website/blob/8972804a/content/feed.xml
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diff --git a/content/feed.xml b/content/feed.xml
index bc8889d..8ca9533 100644
--- a/content/feed.xml
+++ b/content/feed.xml
@@ -1,4 +1,4 @@
-<?xml version="1.0" encoding="utf-8"?><feed 
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/"; 
version="3.7.0">Jekyll</generator><link 
href="http://crail.incubator.apache.org//feed.xml"; rel="self" 
type="application/atom+xml" /><link href="http://crail.incubator.apache.org//"; 
rel="alternate" type="text/html" 
/><updated>2018-10-22T15:08:21+02:00</updated><id>http://crail.incubator.apache.org//</id><title
 type="html">The Apache Crail (Incubating) Project</title><entry><title 
type="html">Sql P1 News</title><link 
href="http://crail.incubator.apache.org//blog/2018/08/sql-p1-news.html"; 
rel="alternate" type="text/html" title="Sql P1 News" 
/><published>2018-08-09T00:00:00+02:00</published><updated>2018-08-09T00:00:00+02:00</updated><id>http://crail.incubator.apache.org//blog/2018/08/sql-p1-news</id><content
 type="html" 
xml:base="http://crail.incubator.apache.org//blog/2018/08/sql-p1-news.html";>&lt;p&gt;A
 new blog &lt;a href=&quot;//crail.incubator.apache.org/blog/201
 8/08/sql-p1.html&quot;&gt;post&lt;/a&gt; discussing file formats performance 
is now online&lt;/p&gt;</content><author><name></name></author><category 
term="news" /><summary type="html">A new blog post discussing file formats 
performance is now online</summary></entry><entry><title type="html">SQL 
Performance: Part 1 - Input File Formats</title><link 
href="http://crail.incubator.apache.org//blog/2018/08/sql-p1.html"; 
rel="alternate" type="text/html" title="SQL Performance: Part 1 - Input File 
Formats" 
/><published>2018-08-08T00:00:00+02:00</published><updated>2018-08-08T00:00:00+02:00</updated><id>http://crail.incubator.apache.org//blog/2018/08/sql-p1</id><content
 type="html" 
xml:base="http://crail.incubator.apache.org//blog/2018/08/sql-p1.html";>&lt;div 
style=&quot;text-align: justify&quot;&gt;
+<?xml version="1.0" encoding="utf-8"?><feed 
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/"; 
version="3.7.0">Jekyll</generator><link 
href="http://crail.incubator.apache.org//feed.xml"; rel="self" 
type="application/atom+xml" /><link href="http://crail.incubator.apache.org//"; 
rel="alternate" type="text/html" 
/><updated>2018-10-22T15:30:53+02:00</updated><id>http://crail.incubator.apache.org//</id><title
 type="html">The Apache Crail (Incubating) Project</title><entry><title 
type="html">Sql P1 News</title><link 
href="http://crail.incubator.apache.org//blog/2018/08/sql-p1-news.html"; 
rel="alternate" type="text/html" title="Sql P1 News" 
/><published>2018-08-09T00:00:00+02:00</published><updated>2018-08-09T00:00:00+02:00</updated><id>http://crail.incubator.apache.org//blog/2018/08/sql-p1-news</id><content
 type="html" 
xml:base="http://crail.incubator.apache.org//blog/2018/08/sql-p1-news.html";>&lt;p&gt;A
 new blog &lt;a href=&quot;//crail.incubator.apache.org/blog/201
 8/08/sql-p1.html&quot;&gt;post&lt;/a&gt; discussing file formats performance 
is now online&lt;/p&gt;</content><author><name></name></author><category 
term="news" /><summary type="html">A new blog post discussing file formats 
performance is now online</summary></entry><entry><title type="html">SQL 
Performance: Part 1 - Input File Formats</title><link 
href="http://crail.incubator.apache.org//blog/2018/08/sql-p1.html"; 
rel="alternate" type="text/html" title="SQL Performance: Part 1 - Input File 
Formats" 
/><published>2018-08-08T00:00:00+02:00</published><updated>2018-08-08T00:00:00+02:00</updated><id>http://crail.incubator.apache.org//blog/2018/08/sql-p1</id><content
 type="html" 
xml:base="http://crail.incubator.apache.org//blog/2018/08/sql-p1.html";>&lt;div 
style=&quot;text-align: justify&quot;&gt;
 &lt;p&gt;
 This is the first user blog post in a multi-part series where we will focus on 
relational data processing performance (e.g., SQL) in presence of 
high-performance network and storage devices - the kind of devices that Crail 
targets. Relational data processing is one of the most popular and versatile 
workloads people run in the  cloud. The general idea is that data is stored in 
tables with a schema, and is processed using a domain specific language like 
SQL. Examples of some popular systems that support such relational data 
analytics in the cloud are &lt;a 
href=&quot;https://spark.apache.org/sql/&quot;&gt;Apache Spark/SQL&lt;/a&gt;, 
&lt;a href=&quot;https://hive.apache.org/&quot;&gt;Apache Hive&lt;/a&gt;, &lt;a 
href=&quot;https://impala.apache.org/&quot;&gt;Apache Impala&lt;/a&gt;, etc. In 
this post, we discuss the important first step in relational data processing, 
which is the reading of input data tables.
 &lt;/p&gt;

http://git-wip-us.apache.org/repos/asf/incubator-crail-website/blob/8972804a/content/files/crail-project-web.pdf
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