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new 679e159 Autobuild (#130)
679e159 is described below
commit 679e1592bf3e62d177e89d234a7ae550ef8702a5
Author: Vadim Ogievetsky <[email protected]>
AuthorDate: Thu May 27 16:51:15 2021 -0700
Autobuild (#130)
* Autobuild
* restore files
---
druid-powered.html | 35 +++++++++++++++++++++++++++++------
index.html | 53 ++++++++++++++++++-----------------------------------
libraries.html | 1 +
3 files changed, 48 insertions(+), 41 deletions(-)
diff --git a/druid-powered.html b/druid-powered.html
index 5c93678..6a2a2e8 100644
--- a/druid-powered.html
+++ b/druid-powered.html
@@ -140,7 +140,8 @@
<p>Druid powers slice and dice analytics on both historical and realtime-time
metrics. It significantly reduces latency of analytic queries and help people
to get insights more interactively.</p>
<ul>
-<li><a
href="https://medium.com/airbnb-engineering/druid-airbnb-data-platform-601c312f2a4c";>How
Druid enables analytics at Airbnb</a></li>
+<li><p><a
href="https://medium.com/airbnb-engineering/druid-airbnb-data-platform-601c312f2a4c";>How
Druid enables analytics at Airbnb</a></p></li>
+<li><p><a
href="https://medium.com/airbnb-engineering/how-airbnb-achieved-metric-consistency-at-scale-f23cc53dea70";>How
Airbnb Achieved Metric Consistency at Scale</a></p></li>
</ul>
<h2 id="airbridge">Airbridge</h2>
@@ -197,6 +198,10 @@ It's a pleasure to work with Druid, extraordinarily
efficient and exceptiona
<p>At <a href="https://avestatechnologies.com/";>Avesta</a>, we use Druid as a
central component in our cloud data platform to provide real-time analytics
solutions to our clients. We are using Druid for Customer Data Analytics and
extending it for Industrial IoT and Market Automation use cases. Druid has not
only proven itself to be resilient and performant but has also helped our
clients save enormous amounts in cloud and licensing costs.</p>
+<ul>
+<li><a
href="https://imply.io/post/community-spotlight-staying-true-to-open-source-roots-at-avesta";>Community
Spotlight: staying true to open-source roots at Avesta</a></li>
+</ul>
+
<h2 id="bannerflow">Bannerflow</h2>
<p><a href="https://www.bannerflow.com";>Bannerflow</a> is the leading display
ad production platform. We use Druid to power our customer facing analytics
system and for internal reporting, monitoring and ad-hoc data exploration.</p>
@@ -392,7 +397,8 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<h2 id="gameanalytics">GameAnalytics</h2>
<ul>
-<li><a href="https://imply.io/post/why-gameanalytics-migrated-to-druid";>Why
GameAnalytics migrated to Apache Druid</a></li>
+<li><p><a href="https://imply.io/post/why-gameanalytics-migrated-to-druid";>Why
GameAnalytics migrated to Apache Druid</a></p></li>
+<li><p><a
href="https://imply.io/post/making-the-impossible-possible-a-gameanalytics-case-study";>Making
the impossible, possible: A GameAnalytics case study</a></p></li>
</ul>
<h2 id="glia">Glia</h2>
@@ -529,10 +535,17 @@ enabling them to spot trends and improve performance of
both marketing campaigns
<h2 id="metamarkets">Metamarkets</h2>
-<p>Druid is the primary data store for Metamarkets' full stack visual
analytics
-service for the RTB (real time bidding) space. Ingesting over 200 billion
events
-per day, Metamarkets is able to provide insight to its customers using complex
-ad-hoc queries at a 95th percentile query time of around 1 second.</p>
+<p>In 2011, Metamarkets originally created Druid to power its SaaS analytics
platform.
+The technology platform processes trillions of real-time transactions monthly,
across thousands of servers.
+With Druid, Metamarkets is able to provide insight to its customers using
complex ad-hoc queries at a 95th percentile query time of less than 1
second.</p>
+
+<ul>
+<li><a
href="https://metamarkets.com/2011/druid-part-i-real-time-analytics-at-a-billion-rows-per-second/";>Introducing
Druid: Real-Time Analytics at a Billion Rows Per Second</a></li>
+<li><a href="https://metamarkets.com/2012/scaling-druid/";>Scaling the Druid
Data Store</a></li>
+<li><a
href="https://metamarkets.com/2012/metamarkets-open-sources-druid/";>Metamarkets
Open Sources Druid</a></li>
+<li><a
href="https://metamarkets.com/2016/impact-on-query-speed-from-forced-processing-ordering-in-druid/";>Druid
Query Optimization with FIFO: Lessons from Our 5000-Core Cluster</a></li>
+<li><a
href="https://metamarkets.com/2016/distributing-data-in-druid-at-petabyte-scale/";>Distributing
Data in Druid at Petabyte Scale</a></li>
+</ul>
<h2 id="millersoft">Millersoft</h2>
@@ -761,6 +774,12 @@ issue related to Druid setup and tuning.</p>
<p>Retargetly is a Data Management Platform that enables publishers and
advertisers to manage their first party user data, mix it with second and third
party data from others providers and activate it into advertising campaigns
(direct, programmatic, etc.). Druid enables us to show real time audience
insights. It also provides a lot of flexibility on ad-hoc queries with low
latency. We provide default graphs and metrics to our clients but they also
have the possibility to make their own [...]
+<h2 id="rill-data">Rill Data</h2>
+
+<p>Rill Data uses Druid to power its truly elastic, fully managed cloud
service.
+Rill uses Druid to deliver operational intelligence to business stakeholders
with zero DevOps overhead.
+Rill's team operates the first and longest continuously running Druid
service.</p>
+
<h2 id="roambee">Roambee</h2>
<p>We introduced Druid to our technology stack while developing our new supply
chain & logistics visibility and intelligence solution. Combining Druid
with other data storage, streaming & processing platforms & solutions
for the IoT sensor data and 3rd party data helped us design an effective
solution for our customers worldwide.</p>
@@ -777,6 +796,10 @@ issue related to Druid setup and tuning.</p>
<p>We are using Druid as our single source of truth for both realtime
statistics and data analysis. Our clients can see and filter detailed metrics
in our <a href="https://www.sage-archer.com";>self-service DSP</a>. The DSP is
used for mobile and digital-out-of-home advertising campaigns. Druid is
powering both the front-end and the optimization algorithms within the
system.</p>
+<ul>
+<li><a
href="https://imply.io/post/community-spotlight-smart-advertising-from-sage-archer-apache-druid";>Community
Spotlight: smart advertising from Sage+Archer + Apache Druid</a></li>
+</ul>
+
<h2 id="salesforce">Salesforce</h2>
<p>Salesforce's Edge Intelligence team uses Apache Druid as a real-time
analytical database to store application performance metrics extracted from log
lines. Our customers within Salesforce, including engineers, product owners,
customer service representatives, etc., use our service to define the way they
want to ingest and query their data and obtain insights such as performance
analysis, trend analysis, release comparison, issue triage, and
troubleshooting. We chose Druid because [...]
diff --git a/index.html b/index.html
index ae40fa8..d4fc538 100644
--- a/index.html
+++ b/index.html
@@ -221,16 +221,16 @@
<div class="event">
<div class="mini-cal">
<div class="date-month">
- May
+ Jun
</div>
<div class="date-day">
- 5
+ 17
</div>
</div>
<p>
- <a href="https://2021.phillyemergingtech.com/talks/some-like-it-hot/";>
- <span class ="title">Some Like It Hot: Choosing a System for
Large-Scale Data Analysis</span><br>
- <span class="text-muted">Philly Emerging Tech Conference</span>
+ <a href="https://www.meetup.com/datariders/events/278237452/";>
+ <span class ="title">Druid + Trino FAANG Analytics (without the FAANG
engineering cost)</span><br>
+ <span class="text-muted">Big data and Cloud Meetup</span>
</a>
</p>
</div>
@@ -238,15 +238,15 @@
<div class="event">
<div class="mini-cal">
<div class="date-month">
- May
+ Jun
</div>
<div class="date-day">
- 18
+ 23
</div>
</div>
<p>
- <a href="https://www.meetup.com/druidio/events/277839249/";>
- <span class ="title">May Apache Druid Office Hours</span><br>
+ <a href="https://www.meetup.com/druidio/events/278388970/";>
+ <span class ="title">June Apache Druid Office Hours</span><br>
<span class="text-muted">Bay Area Apache Druid Meetup</span>
</a>
</p>
@@ -255,15 +255,15 @@
<div class="event">
<div class="mini-cal">
<div class="date-month">
- May
+ Jun
</div>
<div class="date-day">
- 24
+ 29
</div>
</div>
<p>
- <a href="https://www.meetup.com/Apache-Druid-London/events/277839451";>
- <span class ="title">The May Apache Druid Drop-In</span><br>
+ <a href="https://www.meetup.com/Apache-Druid-London/events/278386526/";>
+ <span class ="title">The June Apache Druid Drop-In</span><br>
<span class="text-muted">London Apache Druid Meetup</span>
</a>
</p>
@@ -272,33 +272,16 @@
<div class="event">
<div class="mini-cal">
<div class="date-month">
- May
+ Jul
</div>
<div class="date-day">
- 26
+ 13
</div>
</div>
<p>
- <a
href="https://databricks.cventevents.com/event/45414668-315b-4f08-b539-d9269a28d939/register";>
- <span class ="title">Funnel Analysis with Apache Spark and
Druid</span><br>
- <span class="text-muted">Data + AI Summit 2021</span>
- </a>
- </p>
- </div>
-
- <div class="event">
- <div class="mini-cal">
- <div class="date-month">
- May
- </div>
- <div class="date-day">
- 27
- </div>
- </div>
- <p>
- <a href="https://www.meetup.com/druidio/events/277837014/";>
- <span class ="title">Druid & Trino Day: Unlocking Self-Service &
Real-Time Analytics Across Netflix</span><br>
- <span class="text-muted">Bay Area Apache Druid Meetup</span>
+ <a href="https://www.meetup.com/RVA-Data-Engineering/events/278401957/";>
+ <span class ="title">Apache Druid Deep Dive</span><br>
+ <span class="text-muted">RVA Data Engineering</span>
</a>
</p>
</div>
diff --git a/libraries.html b/libraries.html
index 8e9904e..bd57843 100644
--- a/libraries.html
+++ b/libraries.html
@@ -213,6 +213,7 @@
<li><a href="https://github.com/eBay/embedded-druid";>eBay/embedded-druid</a> -
Leveraging Druid capabilities in stand alone application</li>
<li><a href="https://www.cloudera.com/products/hdp.html";>Hortonworks Data
platform</a> - Hortonworks Data Platform includes Druid and Apache Hive to
enable real-time data warehousing capabilities.<br></li>
<li><a href="http://imply.io/download";>Imply Analytics Platform</a> - The
Imply Analytics platform includes Druid bundled with all its dependencies, an
exploratory analytics UI, and a SQL layer.</li>
+<li><a href="https://www.rilldata.com/";>Rill Data</a> - Rill provides a truly
elastic, fully managed cloud service for Apache Druid.</li>
</ul>
<h2 id="uis">UIs</h2>
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