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The following commit(s) were added to refs/heads/asf-site by this push:
new c59cd98 Autobuild (#138)
c59cd98 is described below
commit c59cd9827801fe2b98fae14a5dc1f9075a4fb64a
Author: Vadim Ogievetsky <[email protected]>
AuthorDate: Wed Sep 8 10:59:59 2021 -0700
Autobuild (#138)
* Autobuild
* restore files
---
druid-powered.html | 91 ++++++++++++++++++++++++++----------------------------
index.html | 48 ++++++++++++++--------------
2 files changed, 68 insertions(+), 71 deletions(-)
diff --git a/druid-powered.html b/druid-powered.html
index 10e41b5..49e634c 100644
--- a/druid-powered.html
+++ b/druid-powered.html
@@ -132,7 +132,7 @@
<p><a href="https://www.adikteev.com";>Adikteev</a> is the leading mobile app
re-engagement platform for performance-driven marketers, and is consistently
ranked in the top 5 of the AppsFlyer Performance Index. By using Druid instead
of relying on slow and stale dashboards, we have been able to achieve internal
productivity gains, make better decisions faster, provide our external clients
with strategic advice to improve the performance and effectiveness of their
retargeting marketing cam [...]
<ul>
-<li><a
href="https://imply.io/post/how-adikteev-helps-customers-succeed-using-self-service-analytics";>How
Adikteev helps customers succeed using self-service analytics</a></li>
+<li><a
href="https://imply.io/post/how-adikteev-helps-customers-succeed-using-self-service-analytics";>How
Adikteev helps customers succeed using self-service analytics</a> (Margot
Miller), <em>Imply Blog</em>, 20 Aug 2020.</li>
</ul>
<h2 id="adswizz">AdsWizz</h2>
@@ -146,8 +146,8 @@
<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><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>
+<li><p><a
href="https://medium.com/airbnb-engineering/druid-airbnb-data-platform-601c312f2a4c";>How
Druid enables analytics at Airbnb</a> (Pala Muthiah, Jinyang Li), <em>The
AirBnb Tech Blog [Medium]</em>, 13 Nov 2018.</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> (Amit Pahwa, Cristian
Figueroa, Donghan Zhang, Haim Grosman, John Bodley, Jonathan Parks, Maggie Zhu,
Philip Weiss, Robert Chang, Shao Xie, Sylvia Tomiyama, Xiaohui Sun), <em>The
AirBnb Tech Blog [Medium]</em>, 30 Apr 2021.</p></li>
</ul>
<h2 id="airbridge">Airbridge</h2>
@@ -189,7 +189,7 @@ It's a pleasure to work with Druid, extraordinarily
efficient and exceptiona
<p>At <a href="https://www.athenahealth.com/";>Athena Health</a>, we are
creating a new performance management application for our clients, and one of
its key components is Apache Druid. </p>
<ul>
-<li><a
href="https://imply.io/virtual-druid-summit/automating-ci-cd-for-druid-clusters-at-athena-health";>Automating
CI/CD for Druid Clusters at Athena Health</a></li>
+<li><a href="https://youtu.be/XGzMJBM8xeg";>Automating CI/CD for Druid Clusters
at Athena Health</a> (Shyam Mudambi, Ramesh Kempanna, Karthik Urs), <em>Imply
[YouTube]</em>, 16 Apr 2020.</li>
</ul>
<h2 id="atomx">Atomx</h2>
@@ -205,7 +205,7 @@ 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>
+<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> (Dharam
Gajera,Peter Marshall, Jelena Zanko), <em>Imply Blog</em>, 25 May 2021.</li>
</ul>
<h2 id="bannerflow">Bannerflow</h2>
@@ -228,14 +228,18 @@ It's a pleasure to work with Druid, extraordinarily
efficient and exceptiona
<p>Blueshift is an AI-powered customer data activation platform enabling CRM
and product marketers to intelligently manage their audiences and orchestrate
large-scale personalized messaging campaigns at scale. Blueshift offers
real-time campaign analytics in the product powered by Druid. Additionally, we
use the same analytics backend to power automatic traffic allocation
capabilities using Bayesian bandits, perform cohort analysis over multiple
dimensions, and generate internal reports [...]
+<blockquote>
+<p>"We operate a multi-tenant Druid cluster in AWS. Additionally, we have
integrated our data lake (Hive/Hbase) with Druid to manage data
backfills."</p>
+</blockquote>
+
<ul>
-<li><a
href="https://imply.io/post/blueshift-scaling-real-time-campaign-analytics-apache-druid";>We
operate a multi-tenant Druid cluster in AWS. Additionally, we have integrated
our data lake (Hive/Hbase) with Druid to manage data backfills.</a></li>
+<li><a
href="https://imply.io/post/blueshift-scaling-real-time-campaign-analytics-apache-druid";>Blueshift:
Scaling real-time campaign analytics with Apache Druid</a> (Anuraj Pandey),
<em>Imply blog</em>, 8 Aug 2019.</li>
</ul>
<h2 id="booking-com">Booking.com</h2>
<ul>
-<li><a href="https://www.youtube.com/watch?v=9GE3yiVo1FM";>Data Engineering At
Booking.com Case Study</a></li>
+<li><a href="https://youtu.be/9GE3yiVo1FM";>Data Engineering At Booking.com: a
case study</a> (Andreas Kretz), <em>YouTube</em>, 15 Mar 2019.</li>
</ul>
<h2 id="branch">Branch</h2>
@@ -245,8 +249,7 @@ It's a pleasure to work with Druid, extraordinarily
efficient and exceptiona
<h2 id="british-telecom-bt">British Telecom (BT)</h2>
<ul>
-<li><a
href="https://imply.io/videos/british-telecoms-apache-druid-architecture";>British
Telecom's Apache Druid Architecture</a></li>
-<li><a
href="https://imply.io/videos/why-british-telecom-chose-druid-over-cassandra";>Why
British Telecom Chose Druid Over Cassandra</a></li>
+<li><a href="https://youtu.be/QZUunUDQ8p4";>How Druid powers real-time
analytics at BT</a> (Pankaj Tiwari), <em>Imply [YouTube]</em>, 17 Apr 2020.</li>
</ul>
<h2 id="central-bank-of-the-republic-of-turkey">Central Bank of the Republic
of Turkey</h2>
@@ -254,13 +257,13 @@ It's a pleasure to work with Druid, extraordinarily
efficient and exceptiona
<p>The Central Bank of the Republic of Turkey addresses the challenge of
analyzing and interpreting real-time tick data related to money market
instruments using Apache Druid and Superset.</p>
<ul>
-<li><a href="https://www.youtube.com/watch?v=o0JsVwFEdtA";>Observing Intraday
Indicators Using Real-Time Tick Data on Apache Superset and Druid</a></li>
+<li><a href="https://youtu.be/o0JsVwFEdtA";>Developing High Frequency
Indicators Using Real-Time Tick Data on Apache Superset and Druid</a> (Zekeriya
Besiroglu, Emre Tokel, Kerem Başol, M. Yağmur. Şahin), <em>DataWorks Summit
[YouTube]</em>, 21 Mar 2019.</li>
</ul>
<h2 id="charter-communications">Charter Communications</h2>
<ul>
-<li><a href="https://speakerdeck.com/implydatainc/druid-at-charter";>Druid at
Charter</a></li>
+<li><a href="https://speakerdeck.com/implydatainc/druid-at-charter";>Druid at
Charter Spectrum</a> (Nate Vogel, Andy Amick), <em>Imply [SlideShare]</em>, 24
Jan 2019.</li>
</ul>
<h2 id="circlehd">CircleHD</h2>
@@ -272,7 +275,7 @@ It's a pleasure to work with Druid, extraordinarily
efficient and exceptiona
<p>Cisco uses Druid to power a real-time analytics platform for network flow
data.</p>
<ul>
-<li><a
href="http://www.networkworld.com/article/3086250/cisco-subnet/under-the-hood-of-cisco-s-tetration-analytics-platform.html";>Under
the hood of Cisco’s Tetration Analytics platform</a></li>
+<li><a
href="https://www.networkworld.com/article/3086250/under-the-hood-of-cisco-s-tetration-analytics-platform.html";>Under
the hood of Cisco’s Tetration Analytics platform</a> (Brandon Butler),
<em>Network World</em>, 20 Jun 2016.</li>
</ul>
<h2 id="cond-nast">Condé Nast</h2>
@@ -293,7 +296,7 @@ It's a pleasure to work with Druid, extraordinarily
efficient and exceptiona
With more than 1 billion unique users reached per month, 3 billion ads
displayed per day, and a 70% growth in 2014, Criteo's previous stack was
hard pressed keeping with the load. Replacing it with druid helped us achieved
linear scalability while letting our customers explore their data in new and
interactive ways.</p>
<ul>
-<li><a
href="http://labs.criteo.com/2016/02/real-time-metrics-on-tracker-calls/";>Real
Time Metrics on Tracker Calls</a></li>
+<li><a
href="http://labs.criteo.com/2016/02/real-time-metrics-on-tracker-calls/";>Real
Time Metrics on Tracker Calls</a> (Camille Coueslant, Benoit Jehanno),
<em>Criteo Engineering</em>, 18 Feb 2016.</li>
</ul>
<h2 id="cuebook">Cuebook</h2>
@@ -301,7 +304,7 @@ With more than 1 billion unique users reached per month, 3
billion ads displayed
<p>At <a href="https://cuebook.ai/";>Cuebook</a>, Druid serves as the analytics
database for our augmented analytics product.</p>
<ul>
-<li><a
href="https://imply.io/post/augmented-analytics-on-business-metrics-by-cuebook";>Augmented
analytics on business metrics by Cuebook with Apache Druid</a></li>
+<li><a
href="https://imply.io/post/augmented-analytics-on-business-metrics-by-cuebook";>Augmented
analytics on business metrics by Cuebook with Apache Druid</a> (Sachin Bansal,
Peter Marshall), <em>Imply blog</em>, 18 Aug 2021.</li>
</ul>
<h2 id="dbs-bank">DBS Bank</h2>
@@ -309,7 +312,7 @@ With more than 1 billion unique users reached per month, 3
billion ads displayed
<p><a href="https://www.dbs.com";>DBS</a> is using Apache Druid to handle the
AML investigation for the compliance team. The AML (anti-money laundering)
workflow generates alerts which are tracked within Druid. The transactional
data is ingested from RDBMS to S3 and ingested back to Druid at regular
intervals. Investigators can now slice and dice over millions of data with low
latency.</p>
<ul>
-<li><a
href="https://imply.io/virtual-druid-summit/apache-druid-anti-money-laundering-dbs-bank";>Apache
Druid for Anti-Money Laundering (AML) at DBS Bank</a></li>
+<li><a href="https://youtu.be/Ly3HFbbEihQ";>Holistic AML compliance using
Apache Druid</a> (Arpit Dubey), <em>Imply [YouTube]</em>, 15 Apr 2020.</li>
</ul>
<h2 id="dataroid">Dataroid</h2>
@@ -332,7 +335,7 @@ Our biggest Druid deployment is responsible for real-time
monitoring and data pr
<p>Our talk from FlinkForward conference in Berlin 2019:</p>
<ul>
-<li><a
href="https://medium.com/deep-bi/real-time-stream-analytics-and-user-scoring-using-apache-druid-flink-cassandra-at-deep-bi-38e5dc40958d?source=friends_link&sk=d9c85da0cb060280bfeb8f3c1c166e84";>Real-time
Stream Analytics and User Scoring Using Apache Druid, Flink & Cassandra at
Deep.BI</a></li>
+<li><a
href="https://medium.com/deep-bi/real-time-stream-analytics-and-user-scoring-using-apache-druid-flink-cassandra-at-deep-bi-38e5dc40958d";>Real-time
Stream Analytics and User Scoring Using Apache Druid, Flink & Cassandra at
Deep.BI</a> (Hisham Itani), <em>Medium</em>, 24 Mar 2020.</li>
</ul>
<h2 id="delta-projects">Delta Projects</h2>
@@ -349,7 +352,7 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<p>Dream11 is consuming data from Apache Druid, Amazon Redshift, and Athena
and building models on Looker to report user concurrency, to track user
journeys, and to build interaction events based funnels.</p>
<ul>
-<li><a
href="https://medium.com/@D11Engg/data-highway-dream11s-inhouse-analytics-platform-the-burden-and-benefits-90b8777d282";>Data
Highway — Dream11’s Inhouse Analytics Platform — The Burden and
Benefits</a></li>
+<li><a
href="https://medium.com/@D11Engg/data-highway-dream11s-inhouse-analytics-platform-the-burden-and-benefits-90b8777d282";>Data
Highway — Dream11’s Inhouse Analytics Platform — The Burden and Benefits</a>
(Lavanya Pulijala), <em>Dream11 Engineering [Medium]</em>, 27 Jan 2020.</li>
</ul>
<h2 id="easemob">Easemob</h2>
@@ -361,9 +364,9 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<p>eBay uses Druid to aggregate multiple data streams for real-time user
behavior analytics by ingesting up at a very high rate(over 100,000
events/sec), with the ability to query or aggregate data by any random
combination of dimensions, and support over 100 concurrent queries without
impacting ingest rate and query latencies.</p>
<ul>
-<li><a
href="https://www.ebayinc.com/stories/blogs/tech/monitoring-at-ebay-with-druid/";>Monitoring
at eBay with Druid</a></li>
-<li><a href="http://blog.csdn.net/ebay/article/details/50205611";>Druid and
Pulsar</a></li>
-<li><a
href="http://www.ebaytechblog.com/2016/02/05/embedded-druid-leveraging-druid-capabilities-in-stand-alone-applications/";>embedded-druid:
Leveraging Druid Capabilities in Stand-alone Applications</a></li>
+<li><a
href="https://tech.ebayinc.com/engineering/monitoring-at-ebay-with-druid/";>Monitoring
at eBay with Druid</a> (Garadi Mohan), <em>eBay Big Data Engineering</em>, 29
May 2019.</li>
+<li><a
href="https://tech.ebayinc.com/engineering/embedded-druid-leveraging-druid-capabilities-in-stand-alone-applications/";>embedded-druid:
Leveraging Druid Capabilities in Stand-alone Applications</a> (Ruchir Shah),
<em>eBay Big Data Engineering</em>, 5 Feb 2016.</li>
+<li><a href="https://blog.csdn.net/ebay/article/details/50205611";>A glance of
Pulsar and Druid</a> (Xiaoming Zhang), <em>eBay Big Data Engineering</em>, 7
Dec 2015.</li>
</ul>
<h2 id="expedia">Expedia</h2>
@@ -371,7 +374,7 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<p>Expedia built real-time customer segmentation into the Expedia Data
Platform using Druid as its core component. It helps business and data science
teams identify customers using many different criteria. </p>
<ul>
-<li><a
href="https://medium.com/expedia-group-tech/fast-approximate-counting-using-druid-and-datasketch-f5f163131acd";>Fast
Approximate Counting Usind Druid and Datasketch</a></li>
+<li><a
href="https://medium.com/expedia-group-tech/fast-approximate-counting-using-druid-and-datasketch-f5f163131acd";>Fast
Approximate Counting Using Druid and Datasketch</a> (Elan Halfin, Aravind
Sethurathnam), <em>Expedia Group Technology [Medium]</em>, 10 Dec 2020.</li>
</ul>
<h2 id="facilityconnex">FacilityConneX</h2>
@@ -391,13 +394,13 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<p><a href="https://www.flurry.com";>Flurry</a> is a mobile app analytics
platform that empowers product, development and growth experts to build better
apps that users love. Mobile data hits the Flurry backend at a huge rate,
updates statistics across hundreds of dimensions, and becomes queryable
immediately. Flurry harnesses Druid to ingest data and serve queries at this
massive rate.</p>
<ul>
-<li><a href="https://www.youtube.com/watch?v=6c_hc3Qca5s";>Druid @
Flurry</a></li>
+<li><a href="https://youtu.be/6c_hc3Qca5s";>Druid @ Flurry</a> (Eric
Tschetter), <em>Sift Science [YouTube]</em>, 16 Dec 2016.</li>
</ul>
<h2 id="fullcontact">FullContact</h2>
<ul>
-<li><a
href="https://www.fullcontact.com/blog/enrich-api-brings-higher-match-rates-with-multi-field-enrichment-capabilities/";>Enrich
API Brings Higher Match Rates with Multi-Field Enrichment Capabilities</a></li>
+<li><a
href="https://www.fullcontact.com/blog/2019/06/27/enrich-api-brings-higher-match-rates-with-multi-field-enrichment-capabilities/";>Enrich
API Brings Higher Match Rates with Multi-Field Enrichment Capabilities</a>
(Ken Michie), <em>Full Contact</em>, 27 Jun 2019.</li>
</ul>
<h2 id="fyber">Fyber</h2>
@@ -407,8 +410,7 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<h2 id="gameanalytics">GameAnalytics</h2>
<ul>
-<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>
+<li><a href="https://imply.io/post/why-gameanalytics-migrated-to-druid";>Why
GameAnalytics migrated to Apache Druid</a> (Ramón Lastres Guerrero), <em>Imply
blog</em>, 14 Feb 2019.</li>
</ul>
<h2 id="glia">Glia</h2>
@@ -420,8 +422,8 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<p>Druid powers a dashboard used internally to visualize real-time analytics
on GumGum's Real Time Bidding platform. GumGum runs Druid on Amazon EC2 and
can ingest up to 300,000 events per second at peak time.</p>
<ul>
-<li><a
href="http://whynosql.com/2015/11/06/lambda-architecture-with-druid-at-gumgum/";>Lambda
Architecture with Druid at GumGum</a></li>
-<li><a
href="https://medium.com/gumgum-tech/optimized-real-time-analytics-using-spark-streaming-and-apache-druid-d872a86ed99d";>Optimized
Real-time Analytics using Spark Streaming and Apache Druid</a></li>
+<li><a
href="https://whynosql.com/2015/11/06/lambda-architecture-with-druid-at-gumgum/";>Lambda
Architecture with Druid at GumGum</a> (Vaibhav Puranik), <em>WhyNoSql
[Wordpress]</em>, 6 Nov 2015.</li>
+<li><a
href="https://medium.com/gumgum-tech/optimized-real-time-analytics-using-spark-streaming-and-apache-druid-d872a86ed99d";>Optimized
Real-time Analytics using Spark Streaming and Apache Druid</a> (Jatinder
Assi), <em>GumGum Tech Blog [Medium]</em>, 2 Jun 2020.</li>
</ul>
<h2 id="hulu">Hulu</h2>
@@ -436,22 +438,18 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<p><a href="https://home.ibotta.com/";>Ibotta</a> is a free cash back rewards
and payments app. The company has partnered with more than 1,500 brands and
retailers to pay consumers cash for their purchases. Ibotta has paid out over
$600 million in cash rewards to more than 35 million users since its founding
in 2012.</p>
-<ul>
-<li><a
href="https://imply.io/post/combating-fraud-at-ibotta-with-imply";>Combatting
fraud at Ibotta with Imply</a></li>
-</ul>
-
<h2 id="imply">Imply</h2>
<p>Imply uses Druid to power public demos and to power our internal monitoring
and metrics.</p>
<ul>
-<li><a href="https://imply.io/post/hello-pivot";>Pivot: An Open Source Data
Exploration UI for Druid</a></li>
-<li><a href="https://imply.io/post/big-data-zoo";>A Tour Through the "Big
Data" Zoo</a></li>
-<li><a href="https://imply.io/post/failure";>Architecting Distributed Databases
for Failure</a></li>
-<li><a
href="http://www.confluent.io/blog/building-a-streaming-analytics-stack-with-apache-kafka-and-druid";>Building
a Streaming Analytics Stack with Apache Kafka and Druid</a></li>
-<li><a href="https://imply.io/post/compressing-longs";>Compressing Longs in
Druid</a></li>
-<li><a href="https://imply.io/post/securing-druid";>Securing Druid</a></li>
-<li><a href="https://imply.io/post/druid-console-query-view";>Druid query view:
An elegant SQL interface for a more civilized age</a></li>
+<li><a href="https://imply.io/post/hello-pivot";>Pivot: An Open Source Data
Exploration UI for Druid</a> (Vadim Ogievetsky), <em>Imply blog</em>, 26 Oct
2015.</li>
+<li><a href="https://imply.io/post/big-data-zoo";>A Tour Through the "Big
Data" Zoo</a> (Fangjin Yang), <em>Imply blog</em>, 4 Nov 2015.</li>
+<li><a href="https://imply.io/post/failure";>Architecting Distributed Databases
for Failure</a> (Fangjin Yang), <em>Imply blog</em>, 10 Dec 2015.</li>
+<li><a
href="http://www.confluent.io/blog/building-a-streaming-analytics-stack-with-apache-kafka-and-druid";>Building
a Streaming Analytics Stack with Apache Kafka and Druid</a> (Fangjin Yang),
<em>Confluent blog</em>, 14 Jun 2016.</li>
+<li><a href="https://imply.io/post/compressing-longs";>Compressing Longs in
Druid</a> (David Li), <em>Imply blog</em>, 7 Dec 2016.</li>
+<li><a href="https://imply.io/post/securing-druid";>Securing Druid</a> (Jon
Wei), <em>Imply blog</em>, 13 Sep 2018.</li>
+<li><a href="https://imply.io/post/druid-console-query-view";>Druid query view:
An elegant SQL interface for a more civilized age</a> (Margaret Brewster),
<em>Imply blog</em>, 16 Oct 2019.</li>
</ul>
<h2 id="inke">Inke</h2>
@@ -467,7 +465,7 @@ Didi uses Druid as a core component of our real-time
bigdata processing pipeline
<p>Innowatts uses Druid to quickly work with massive data sets, and
differentiates its platform with the intended direction to read meters and
forecast usage on the fly.</p>
<ul>
-<li><a
href="https://imply.io/post/innowatts-innovates-power-utilities-analytics";>Innowatts
provides AI-driven analytics for the power industry</a></li>
+<li><a
href="https://imply.io/post/innowatts-innovates-power-utilities-analytics";>Community
Spotlight: Innowatts provides AI-driven analytics for the power industry</a>
(Daniel Hernandez, Matt Sarrel), <em>Imply blog</em>, 30 Sep 2020.</li>
</ul>
<h2 id="interactive-intelligence">Interactive Intelligence</h2>
@@ -486,7 +484,7 @@ Italiaonline is the first Italian internet company, with
the two most visited we
<p>Jolata leverages Druid as the analytics data store for the realtime network
perfomance managment platform. Injesting over 35 billion events per day, Jolata
calculates a billion metrics every minute to visualize precise network metrics
in real-time, and enable operators to quickly drill down and perform root cause
analysis.</p>
<ul>
-<li><a
href="https://www.linkedin.com/pulse/realtime-analytics-powered-druid-kiran-patchigolla";>Realtime
Analytics Powered by Druid</a></li>
+<li><a
href="https://www.linkedin.com/pulse/realtime-analytics-powered-druid-kiran-patchigolla";>Realtime
Analytics Powered by Druid</a> (Kiran Patchigolla), <em>Medium</em>, 11 Aug
2015.</li>
</ul>
<h2 id="kering">Kering</h2>
@@ -517,7 +515,7 @@ Kering was already providing data on demand via a search
engine (Apache Solr), a
<h2 id="lyft">Lyft</h2>
<ul>
-<li><a href="https://youtu.be/ovZ9iAkQllo";>Streaming SQL and Druid</a></li>
+<li><a href="https://youtu.be/ovZ9iAkQllo";>Streaming SQL and Druid</a> (Arup
Malakar), <em>SF Big Analytics [YouTube]</em>, 30 Aug 2018.</li>
</ul>
<h2 id="lynx-analytics">Lynx Analytics</h2>
@@ -530,7 +528,7 @@ which they can do that is in a big part thanks to Druid!</p>
<h2 id="makemytrip">MakeMyTrip</h2>
<ul>
-<li><a
href="https://medium.com/makemytrip-engineering/data-insights-engine-makemytrip-900bd353d99c";>Data
Insights Engine @ MakeMyTrip</a></li>
+<li><a
href="https://medium.com/makemytrip-engineering/data-insights-engine-makemytrip-900bd353d99c";>Data
Insights Engine @ MakeMyTrip</a> (Aditya Banerjee), <em>MakeMyTrip
[Medium]</em>, 4 Jan 2019.</li>
</ul>
<h2 id="makesens">MAKESENS</h2>
@@ -594,7 +592,7 @@ campaign performance and customer behavior.</p>
<h2 id="mz">MZ</h2>
<ul>
-<li><a href="https://www.youtube.com/watch?v=zCk2BV9mQ0Y";>Druid Meetup @ MZ
video</a></li>
+<li>Priyadarshi, Pushkar; Yurinok, Igor, Nepune, Bikrant. "Druid @
MZ." <em>YouTube</em>, uploaded by Imply, 5 Mar 2018, <a
href="https://youtu.be/zCk2BV9mQ0Y";>https://youtu.be/zCk2BV9mQ0Y</a></li>
</ul>
<h2 id="n3twork">N3twork</h2>
@@ -617,8 +615,7 @@ They use Druid to pinpoint anomalies within their
infrastructure, endpoint
activity and content flow.</p>
<ul>
-<li><a
href="https://www.youtube.com/watch?v=Qvhqe4yUKpw&feature=youtu.be";>Druid
Meetup @ Netflix video</a></li>
-<li><a
href="https://www.slideshare.net/JaebinYoon/druid-meetup-netflix-11142018/";>Druid
Meetup @ Netflix slides</a></li>
+<li>Merlino, Gian; Herman, Matt; Pasari, Vivek; Jain, Samarth. "Druid @
Netflix". <em>YouTube</em>, uploaded by Netflix Data, 14 Nov 2018. <a
href="https://youtu.be/Qvhqe4yUKpw";>https://youtu.be/Qvhqe4yUKpw</a></li>
<li><a
href="https://aws.amazon.com/solutions/case-studies/netflix-kinesis-streams/";>Netflix
& Amazon Case Study</a></li>
<li><a
href="http://techblog.netflix.com/2013/12/announcing-suro-backbone-of-netflixs.html";>Announcing
Suro: Backbone of Netflix's Data Pipeline</a></li>
<li><a
href="https://netflixtechblog.com/how-netflix-uses-druid-for-real-time-insights-to-ensure-a-high-quality-experience-19e1e8568d06";>How
Netflix uses Druid for Real-time Insights to Ensure a High-Quality
Experience</a></li>
@@ -640,8 +637,8 @@ activity and content flow.</p>
<ul>
<li><a href="https://imply.io/post/nielsen-marketing-audience-analysis";>How
Nielsen Marketing Cloud Uses Druid for Audience and Marketing Performance
Analysis</a></li>
-<li><a href="https://youtu.be/MLUhzuQ0DHY";>Counting Unique Users in Real-Time:
Here’s a Challenge for You! video</a></li>
-<li><a
href="https://www.slideshare.net/Hadoop_Summit/counting-unique-users-in-realtime-heres-a-challenge-for-you-139142580";>Counting
Unique Users in Real-Time: Here’s a Challenge for You! slides</a></li>
+<li><a href="https://youtu.be/MLUhzuQ0DHY";>Counting Unique Users in Real-Time:
Here’s a Challenge for You!"</a> (Yakir Buskilla, Itai Yaffe)
<em>YouTube</em>, uploaded by DataWorks Summit, 1 Apr 2019.</li>
+<li>Buskilla, Yakir; Yaffe, Itai. "Counting Unique Users in Real-Time:
Here’s a Challenge for You!" <em>SlideShare</em>, uploaded by DataWorks
Summit, 1 Apr 2019. <a
href="https://www.slideshare.net/Hadoop_Summit/counting-unique-users-in-realtime-heres-a-challenge-for-you-139142580";>https://www.slideshare.net/Hadoop_Summit/counting-unique-users-in-realtime-heres-a-challenge-for-you-139142580</a></li>
<li><a
href="https://medium.com/nmc-techblog/data-retention-and-deletion-in-apache-druid-74ffd12398a8";>Data
Retention and Deletion in Apache Druid</a></li>
</ul>
diff --git a/index.html b/index.html
index a0d6f24..8662ca9 100644
--- a/index.html
+++ b/index.html
@@ -297,47 +297,47 @@
</h3>
<p>
- <a
href="https://www.druidforum.org/t/data-modeling-and-query-performance-in-apache-druid/5942";>
- <span class="title">Data Modeling and Query Performance in Apache
Druid</span><br>
- <span class="text-muted">Matt Sarrel - </span>
+ <a
href="https://vijay-narayanan-bigdata.medium.com/anomaly-detection-using-druid-and-imply-pivot-d6cd5bf158db";>
+ <span class="title">Anomaly detection using Druid and Imply
Pivot</span><br>
+ <span class="text-muted">Vijay Narayanan - </span>
<span class="text-muted">Imply</span><br>
- <span class="text-muted">Feb 22 2021</span>
+ <span class="text-muted">Sep 8 2021</span>
</a>
</p>
<p>
- <a
href="https://imply.io/virtual-druid-summit/apache-druid-vision-and-roadmap-gian-merlino";>
- <span class="title">Apache Druid Vision and Roadmap</span><br>
- <span class="text-muted">Gian Merlino - </span>
- <span class="text-muted">Imply</span><br>
- <span class="text-muted">Apr 15 2020</span>
+ <a
href="https://imply.io/post/augmented-analytics-on-business-metrics-by-cuebook";>
+ <span class="title">Augmented analytics on business metrics by Cuebook
with Apache Druid</span><br>
+ <span class="text-muted">Sachin Bansal - </span>
+ <span class="text-muted">Cuebook</span><br>
+ <span class="text-muted">Aug 18 2021</span>
</a>
</p>
<p>
- <a
href="https://imply.io/virtual-druid-summit/automating-ci-cd-for-druid-clusters-at-athena-health";>
- <span class="title">Automating CI/CD for Druid Clusters at Athena
Health</span><br>
- <span class="text-muted">Shyam Mudambi, Ramesh Kempanna and Karthik Urs
- </span>
- <span class="text-muted">Athena Health</span><br>
- <span class="text-muted">Apr 15 2020</span>
+ <a href="https://youtu.be/dOBb0IOdsnU";>
+ <span class="title">Funnel Analysis with Spark, Druid and
DataSketches</span><br>
+ <span class="text-muted">Itai Yaffe, Yakir Buskila - </span>
+ <span class="text-muted">Databricks Data and AI Summit 2021</span><br>
+ <span class="text-muted">Aug 9 2021</span>
</a>
</p>
<p>
- <a
href="https://imply.io/virtual-druid-summit/apache-druid-anti-money-laundering-dbs-bank";>
- <span class="title">Apache Druid for Anti-Money Laundering (AML) at DBS
Bank</span><br>
- <span class="text-muted">Arpit Dubey - </span>
- <span class="text-muted">DBS</span><br>
- <span class="text-muted">Apr 15 2020</span>
+ <a
href="https://www.bigdata-insider.de/apache-druid-datenspeicher-mit-geringen-latenzen-a-1034042/";>
+ <span class="title">Apache Druid – Datenspeicher mit geringen
Latenzen</span><br>
+ <span class="text-muted">Thomas Joos, Nico Litzel - </span>
+ <span class="text-muted">Big Data Insider</span><br>
+ <span class="text-muted">Jul 21 2021</span>
</a>
</p>
<p>
- <a
href="https://imply.io/virtual-druid-summit/how-druid-powers-real-time-analytics-at-bt";>
- <span class="title">How Apache Druid Powers Real-Time Analytics at
BT</span><br>
- <span class="text-muted">Pankaj Tiwari - </span>
- <span class="text-muted">BT</span><br>
- <span class="text-muted">Apr 15 2020</span>
+ <a href="https://youtu.be/QAitmv8QRq4";>
+ <span class="title">Casting the spell: Druid in Practice</span><br>
+ <span class="text-muted">Itai Yaffe, Yakir Buskila - </span>
+ <span class="text-muted">Berlin Buzzwords 2021</span><br>
+ <span class="text-muted">Jun 17 2021</span>
</a>
</p>
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