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The following commit(s) were added to refs/heads/asf-site by this push:
new 5506f17 Autobuild
new a064df4 Merge pull request #32 from implydata/autobuild
5506f17 is described below
commit 5506f17d7a2c7b86cd14a3308954653100fc2874
Author: Vadim Ogievetsky <[email protected]>
AuthorDate: Sat Aug 31 18:27:00 2019 -0700
Autobuild
---
data/example-manifests.tsv | 2 ++
data/wikipedia.json.gz | Bin 0 -> 2016532 bytes
druid-powered.html | 18 ++++++++++++++++
index.html | 52 ++++++++-------------------------------------
4 files changed, 29 insertions(+), 43 deletions(-)
diff --git a/data/example-manifests.tsv b/data/example-manifests.tsv
new file mode 100644
index 0000000..758401c
--- /dev/null
+++ b/data/example-manifests.tsv
@@ -0,0 +1,2 @@
+name description spec
+Wikipedia Edits Edits on Wikipedia from one day
{"type":"index_parallel","ioConfig":{"type":"index_parallel","firehose":{"type":"http","uris":["https://druid.apache.org/data/wikipedia.json.gz"]}},"tuningConfig":{"type":"index_parallel"},"dataSchema":{"dataSource":"new-data-source","granularitySpec":{"type":"uniform","segmentGranularity":"DAY","queryGranularity":"HOUR"}}}
diff --git a/data/wikipedia.json.gz b/data/wikipedia.json.gz
new file mode 100644
index 0000000..184863c
Binary files /dev/null and b/data/wikipedia.json.gz differ
diff --git a/druid-powered.html b/druid-powered.html
index eca4872..441b6a7 100644
--- a/druid-powered.html
+++ b/druid-powered.html
@@ -638,6 +638,12 @@ Learn more about TrafficGuard’s comprehensive fraud
mitigation at (https://www
<p>TripleLift uses Druid to provide insights into performance aspects of its
native programmatic exchange for sales/business development opportunities, and
to provide reporting used by advertisers and publishers.</p>
+<h2 id="twitter">Twitter</h2>
+
+<ul>
+<li><a
href="https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/interactive-analytics-at-mopub.html";>Interactive
Analytics at MoPub: Querying Terabytes of Data in Seconds</a></li>
+</ul>
+
<h2 id="videoamp">VideoAmp</h2>
<p>At VideoAmp, Druid is a key component of our Big Data stack. It powers our
real-time video advertising analytics at low granularity and huge scale. Druid
has helped us minimized the time between event, insight and action.</p>
@@ -710,10 +716,22 @@ Learn more about TrafficGuard’s comprehensive fraud
mitigation at (https://www
<p>China Youzan is a SaaS company which principally engaged in retail science
and technology. We use Druid for business intelligence (BI) analytics and
application performance management (APM) metrics</p>
+<h2 id="zeotap">Zeotap</h2>
+
+<ul>
+<li><a
href="https://imply.io/post/apache-druid-helps-zeotap-master-multi-channel-attribution";>Apache
Druid helps Zeotap Master Multi-Channel Attribution at Scale</a></li>
+</ul>
+
<h2 id="zhihu">Zhihu</h2>
<p><a href="https://www.zhihu.com/";>Zhihu</a> is a Chinese question-and-answer
website. In Zhihu, Druid is used to power clients' interactive queries,
data reports, A/B testing and performance monitoring. Almost 1T per day data is
ingested into druid cluster, and we are strongly depending on thetaSketch
aggregator for computing cardinality and retention, looking forward to more
improvement on DataSketch.</p>
+<h2 id="zscaler">Zscaler</h2>
+
+<ul>
+<li><a
href="https://imply.io/post/druid-at-zscaler-security-log-analytics";>Druid @
Zscaler - A Retrospective</a></li>
+</ul>
+
<h2 id="zuoyebang">Zuoyebang</h2>
<p><a href="http://www.zuoyebang.com/";>Zuoyebang</a> is the most used K12
education platform, 7 out of every 10 K12 users are using Zuoyebang. At
Zuoyebang Data Platform Group, we use the Druid in the advertising scene,
mainly related to advertising display, click, billing, and other functions. The
performance and timeliness of druid can meet our OLAP queries very well.</p>
diff --git a/index.html b/index.html
index 7064a9c..09f5818 100644
--- a/index.html
+++ b/index.html
@@ -221,40 +221,6 @@
<div class="event">
<div class="mini-cal">
<div class="date-month">
- Aug
- </div>
- <div class="date-day">
- 28
- </div>
- </div>
- <p>
- <a href="https://www.meetup.com/SF-Big-Analytics/events/263274680/";>
- <span class ="title">Meetup: SF Big Analytics - Apache Druid and
YuniKorn: Universal Resource scheduler for both K8s and Yarn</span><br>
- <span class="text-muted">2019-08-28, from 6:00 - 9:00 PM @ Workday,
160 Spear St Suite 1700 · San Francisco, CA</span>
- </a>
- </p>
- </div>
-
- <div class="event">
- <div class="mini-cal">
- <div class="date-month">
- Aug
- </div>
- <div class="date-day">
- 21
- </div>
- </div>
- <p>
- <a
href="https://www.meetup.com/utah-data-engineering-meetup/events/263761070/";>
- <span class ="title">Meetup: Utah Data Engineering - Two Talks About
Real Time w/ Jon King (Imply) and Thor Sigurjonsson (Overstock)</span><br>
- <span class="text-muted">2019-08-21, from 6:30 - 8:30 PM @ Overstock,
799 Coliseum Way · Midvale, UT</span>
- </a>
- </p>
- </div>
-
- <div class="event">
- <div class="mini-cal">
- <div class="date-month">
Sep
</div>
<div class="date-day">
@@ -331,6 +297,15 @@
</h3>
<p>
+ <a
href="https://medium.com/outbrain-engineering/understanding-spark-streaming-with-kafka-and-druid-25b69e28dcb7";>
+ <span class="title">Understanding Spark Streaming with Kafka and
Druid</span><br>
+ <span class="text-muted">Daria Litvinov - </span>
+ <span class="text-muted">Outbrain</span><br>
+ <span class="text-muted">Aug 11 2019</span>
+ </a>
+ </p>
+
+ <p>
<a href="https://imply.io/post/druid-at-zscaler-security-log-analytics";>
<span class="title">The Zscaler difference - security at cloud
scale</span><br>
<span class="text-muted">Subramanian Srinivasan and Kevin Fletcher -
</span>
@@ -366,15 +341,6 @@
</a>
</p>
- <p>
- <a
href="https://speakerdeck.com/implydatainc/setting-the-stage-for-fast-analytics-with-druid";>
- <span class="title">Setting the stage for fast analytics with
Druid</span><br>
- <span class="text-muted">Surekha Saharan and Benjamin Hopp - </span>
- <span class="text-muted">Imply</span><br>
- <span class="text-muted">May 22 2019</span>
- </a>
- </p>
-
</div>
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