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Posted to commits@kudu.apache.org by ab...@apache.org on 2018/08/10 09:22:27 UTC

kudu-site git commit: Publish commit(s) from site source repo: 875f4cd Blog: Two minor tweeks to 'Getting Started with Kudu - an O'Reilly Title'

Repository: kudu-site
Updated Branches:
  refs/heads/asf-site 53e5fac72 -> b9fd513a0


Publish commit(s) from site source repo:
  875f4cd Blog: Two minor tweeks to 'Getting Started with Kudu - an O'Reilly Title'

Site-Repo-Commit: 875f4cd09c0c7ee4408bd6171730e181f4cb8d12


Project: http://git-wip-us.apache.org/repos/asf/kudu-site/repo
Commit: http://git-wip-us.apache.org/repos/asf/kudu-site/commit/b9fd513a
Tree: http://git-wip-us.apache.org/repos/asf/kudu-site/tree/b9fd513a
Diff: http://git-wip-us.apache.org/repos/asf/kudu-site/diff/b9fd513a

Branch: refs/heads/asf-site
Commit: b9fd513a0ca27966f0115cea0ebed01365fc3080
Parents: 53e5fac
Author: Attila Bukor <ab...@apache.org>
Authored: Fri Aug 10 02:22:10 2018 -0700
Committer: Attila Bukor <ab...@apache.org>
Committed: Fri Aug 10 02:22:10 2018 -0700

----------------------------------------------------------------------
 2018/08/06/getting-started-with-kudu-an-oreilly-title.html | 2 +-
 blog/index.html                                            | 2 +-
 feed.xml                                                   | 6 +++---
 3 files changed, 5 insertions(+), 5 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/kudu-site/blob/b9fd513a/2018/08/06/getting-started-with-kudu-an-oreilly-title.html
----------------------------------------------------------------------
diff --git a/2018/08/06/getting-started-with-kudu-an-oreilly-title.html b/2018/08/06/getting-started-with-kudu-an-oreilly-title.html
index a4a4d71..4953a49 100644
--- a/2018/08/06/getting-started-with-kudu-an-oreilly-title.html
+++ b/2018/08/06/getting-started-with-kudu-an-oreilly-title.html
@@ -119,7 +119,7 @@ blog with their permission.</p>
 <p>Five years ago, enabling Data Science and Advanced Analytics on the
 Hadoop platform was hard. Organizations required strong Software Engineering
 capabilities to successfully implement complex Lambda architectures or even
-simply implement continuous ingest. Updating or deleting data, were simplify
+simply implement continuous ingest. Updating or deleting data, were simply a
 nightmare. General Data Protection Regulation (GDPR) would have been an extreme
 challenge at that time.
 <!--more-->

http://git-wip-us.apache.org/repos/asf/kudu-site/blob/b9fd513a/blog/index.html
----------------------------------------------------------------------
diff --git a/blog/index.html b/blog/index.html
index b9057b9..15208d5 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -123,7 +123,7 @@ blog with their permission.</p>
 <p>Five years ago, enabling Data Science and Advanced Analytics on the
 Hadoop platform was hard. Organizations required strong Software Engineering
 capabilities to successfully implement complex Lambda architectures or even
-simply implement continuous ingest. Updating or deleting data, were simplify
+simply implement continuous ingest. Updating or deleting data, were simply a
 nightmare. General Data Protection Regulation (GDPR) would have been an extreme
 challenge at that time.</p>
 

http://git-wip-us.apache.org/repos/asf/kudu-site/blob/b9fd513a/feed.xml
----------------------------------------------------------------------
diff --git a/feed.xml b/feed.xml
index 543a1fe..398481d 100644
--- a/feed.xml
+++ b/feed.xml
@@ -1,11 +1,11 @@
-<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom"><generator uri="http://jekyllrb.com" version="2.5.3">Jekyll</generator><link href="/feed.xml" rel="self" type="application/atom+xml" /><link href="/" rel="alternate" type="text/html" /><updated>2018-08-08T09:15:27-07:00</updated><id>/</id><entry><title>Getting Started with Kudu - an O’Reilly Title</title><link href="/2018/08/06/getting-started-with-kudu-an-oreilly-title.html" rel="alternate" type="text/html" title="Getting Started with Kudu - an O&#39;Reilly Title" /><published>2018-08-06T00:00:00-07:00</published><updated>2018-08-06T00:00:00-07:00</updated><id>/2018/08/06/getting-started-with-kudu-an-oreilly-title</id><content type="html" xml:base="/2018/08/06/getting-started-with-kudu-an-oreilly-title.html">&lt;p&gt;The following article by Brock Noland was reposted from the
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom"><generator uri="http://jekyllrb.com" version="2.5.3">Jekyll</generator><link href="/feed.xml" rel="self" type="application/atom+xml" /><link href="/" rel="alternate" type="text/html" /><updated>2018-08-10T02:22:04-07:00</updated><id>/</id><entry><title>Getting Started with Kudu - an O’Reilly Title</title><link href="/2018/08/06/getting-started-with-kudu-an-oreilly-title.html" rel="alternate" type="text/html" title="Getting Started with Kudu - an O&#39;Reilly Title" /><published>2018-08-06T00:00:00-07:00</published><updated>2018-08-06T00:00:00-07:00</updated><id>/2018/08/06/getting-started-with-kudu-an-oreilly-title</id><content type="html" xml:base="/2018/08/06/getting-started-with-kudu-an-oreilly-title.html">&lt;p&gt;The following article by Brock Noland was reposted from the
 &lt;a href=&quot;https://www.phdata.io/getting-started-with-kudu/&quot;&gt;phData&lt;/a&gt;
 blog with their permission.&lt;/p&gt;
 
 &lt;p&gt;Five years ago, enabling Data Science and Advanced Analytics on the
 Hadoop platform was hard. Organizations required strong Software Engineering
 capabilities to successfully implement complex Lambda architectures or even
-simply implement continuous ingest. Updating or deleting data, were simplify
+simply implement continuous ingest. Updating or deleting data, were simply a
 nightmare. General Data Protection Regulation (GDPR) would have been an extreme
 challenge at that time.
 &lt;!--more--&gt;
@@ -59,7 +59,7 @@ blog with their permission.
 Five years ago, enabling Data Science and Advanced Analytics on the
 Hadoop platform was hard. Organizations required strong Software Engineering
 capabilities to successfully implement complex Lambda architectures or even
-simply implement continuous ingest. Updating or deleting data, were simplify
+simply implement continuous ingest. Updating or deleting data, were simply a
 nightmare. General Data Protection Regulation (GDPR) would have been an extreme
 challenge at that time.</summary></entry><entry><title>Instrumentation in Apache Kudu</title><link href="/2018/07/10/instrumentation-in-kudu.html" rel="alternate" type="text/html" title="Instrumentation in Apache Kudu" /><published>2018-07-10T00:00:00-07:00</published><updated>2018-07-10T00:00:00-07:00</updated><id>/2018/07/10/instrumentation-in-kudu</id><content type="html" xml:base="/2018/07/10/instrumentation-in-kudu.html">&lt;p&gt;Last week, the &lt;a href=&quot;http://opentracing.io/&quot;&gt;OpenTracing&lt;/a&gt; community invited me to
 their monthly Google Hangout meetup to give an informal talk on tracing and