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The following commit(s) were added to refs/heads/asf-site by this push:
     new 215345c  Autobuild (#41)
215345c is described below

commit 215345c1aef4eb6bbcd639f5302dc640d2cbeb8d
Author: Vadim Ogievetsky <[email protected]>
AuthorDate: Mon Oct 21 14:50:33 2019 -0700

    Autobuild (#41)
    
    * Autobuild
    
    * restore files
---
 druid-powered.html |  6 ++++++
 index.html         | 61 ++++++++++++++++++++++++++++++++++--------------------
 2 files changed, 45 insertions(+), 22 deletions(-)

diff --git a/druid-powered.html b/druid-powered.html
index 3c76c9e..acfb06b 100644
--- a/druid-powered.html
+++ b/druid-powered.html
@@ -171,6 +171,12 @@ It&#39;s a pleasure to work with Druid, extraordinarily 
efficient and exceptiona
 
 <p>Billy Mobile is a mobile advertising platform, excelling in the 
performance-based optimisation segment. We use Druid to power our real-time 
analytics dashboards, in which our publishers, advertisers and staff can get 
insights on how their campaigns, offers and traffic are performing, with 
sub-second query time and minute granularity . We are using a 
lambda-architecture aproach, ingesting the traffic in real time with 
Tranquility and Storm, and a batch layer via a tight integration wit [...]
 
+<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>
+</ul>
+
 <h2 id="branch">Branch</h2>
 
 <p>Branch uses Druid as their trusted analytics engine to power all of their 
data analysis needs. This ranges from the user-facing Branch Dashboard 
analytics that our partners rely on to gain insight into the performance of 
their links; to the data-driven business decisions that we need to make 
internally to build a sustainable business.</p>
diff --git a/index.html b/index.html
index 7b6cb7f..73980b3 100644
--- a/index.html
+++ b/index.html
@@ -139,30 +139,30 @@
       <div class="features">
         <div class="feature">
           <span class="fa fa-chart-line fa"></span>
-          <h5>Analyze event streams</h5>
+          <h5>Power applications where low latency really matters</h5>
           <p>
-            Druid provides fast analytical queries, at high concurrency, on 
event-driven data. Druid can instantaneously ingest streaming data and provide 
sub-second queries to power interactive UIs.
+            Druid is a real-time analytics database that excels at providing 
immediate data visibility and understanding. Easily load streaming or batch 
data, and answer ad-hoc analytic queries on billions of rows in under a second.
           </p>
         </div>
         <div class="feature">
-          <span class="fa fa-lightbulb fa"></span>
-          <h5>Utilize reimagined architecture</h5>
+          <span class="fa fa-forward fa"></span>
+          <h5>Build event-driven data stacks</h5>
           <p>
-            Druid is a new type of database that combines ideas from <a 
href='https://en.wikipedia.org/wiki/Online_analytical_processing'>OLAP/analytic 
databases</a>, <a 
href='https://en.wikipedia.org/wiki/Time_series_database'>timeseries 
databases</a>, and <a 
href='https://en.wikipedia.org/wiki/Full-text_search'>search systems</a> to 
enable new use cases in streaming architectures.
+            Druid is a query layer that that natively integrates with message 
buses (<a href='http://kafka.apache.org/'>Kafka</a>, <a 
href='https://aws.amazon.com/kinesis/'>AWS Kinesis</a>, etc) and data lakes (<a 
href='https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsUserGuide.html'>HDFS</a>,
 <a href='https://aws.amazon.com/s3/'>AWS S3</a>, etc). Build end-to-end data 
stacks ideal for streaming data.
           </p>
         </div>
         <div class="feature">
-          <span class="fa fa-forward fa"></span>
-          <h5>Build event-driven data stacks</h5>
+          <span class="fa fa-lightbulb fa"></span>
+          <h5>Utilize reimagined architecture</h5>
           <p>
-            Druid integrates natively with message buses (Kafka, AWS Kinesis, 
etc) and data lakes (HDFS, AWS S3, etc). Druid works especially well as a query 
layer for stream hubs and stream processors.
+            Druid is over <a 
href='https://imply.io/post/performance-benchmark-druid-presto-hive'>100x 
faster</a> than legacy data warehouses for data ingestion and data querying. 
Druid has a brand new architecture that combines ideas from <a 
href='https://en.wikipedia.org/wiki/Data_warehouse'>data warehouses</a>, <a 
href='https://en.wikipedia.org/wiki/Time_series_database'>timeseries 
databases</a>, and <a 
href='https://en.wikipedia.org/wiki/Search_engine_(computing)'>search 
systems</a>.
           </p>
         </div>
         <div class="feature">
           <span class="fa fa-unlock fa"></span>
           <h5>Unlock new workflows</h5>
           <p>
-            Druid is designed for rapid, ad-hoc analytics on both real-time 
and historical data. Explain trends, explore data, and quickly iterate on 
queries to answer questions.
+            Druid <a href='/use-cases'>unlocks new types of queries and 
workflows</a> for clickstream, APM, supply chain, network telemetry, digital 
marketing, and many other forms of event-driven data. Druid is designed for 
rapid, ad-hoc analytics on both real-time and historical data.
           </p>
         </div>
         <div class="feature">
@@ -224,13 +224,13 @@
         Oct
       </div>
       <div class="date-day">
-        16
+        19
       </div>
     </div>
     <p>
-      <a 
href="https://www.meetup.com/utah-data-engineering-meetup/events/265027325/";>
-        <span class ="title">Utah Data Engineering Meetup @ 
Overstock</span><br>
-        <span class="text-muted">Overstock, 799 Coliseum Way · Midvale, 
UT</span>
+      <a 
href="https://www.meetup.com/Bangalore-Druid-Meetup-Group/events/265037528/";>
+        <span class ="title">Bangalore Apache Druid Meetup @ Zeotap</span><br>
+        <span class="text-muted">Zeoptap, 974, 80 Feet Rd, Bengaluru</span>
       </a>
     </p>
   </div>
@@ -241,13 +241,13 @@
         Oct
       </div>
       <div class="date-day">
-        19
+        22
       </div>
     </div>
     <p>
-      <a 
href="https://www.meetup.com/Bangalore-Druid-Meetup-Group/events/265037528/";>
-        <span class ="title">Bangalore Apache Druid Meetup @ Zeotap</span><br>
-        <span class="text-muted">Zeoptap, 974, 80 Feet Rd · Bengaluru</span>
+      <a href="https://aceu19.apachecon.com/";>
+        <span class ="title">ApacheCon Europe, Berlin</span><br>
+        <span class="text-muted">Kulturbrauerei, Schönhauser Allee 36, 10435 
Berlin, Germany</span>
       </a>
     </p>
   </div>
@@ -255,16 +255,33 @@
   <div class="event">
     <div class="mini-cal">
       <div class="date-month">
-        Oct
+        Nov
       </div>
       <div class="date-day">
-        22
+        12
       </div>
     </div>
     <p>
-      <a href="https://aceu19.apachecon.com/";>
-        <span class ="title">ApacheCon Europe, Berlin</span><br>
-        <span class="text-muted">2019-10-22 to 2019-10-25, Kulturbrauerei, 
Schönhauser Allee 36, 10435 Berlin, Germany</span>
+      <a href="https://www.meetup.com/druidio/events/265783126/";>
+        <span class ="title">Bay Area Apache Druid Meetup @ Apollo 
GraphQL</span><br>
+        <span class="text-muted">Apollo GraphQL, 140 10th St, San Francisco, 
CA</span>
+      </a>
+    </p>
+  </div>
+  
+  <div class="event">
+    <div class="mini-cal">
+      <div class="date-month">
+        Nov
+      </div>
+      <div class="date-day">
+        14
+      </div>
+    </div>
+    <p>
+      <a href="https://www.meetup.com/Apache-Druid-Munich/events/265710003/";>
+        <span class ="title">Munich Apache Druid Meetup @ Ippen 
Digital</span><br>
+        <span class="text-muted">Ippen Digital, Paul-Heyse-Straße 2, 80336 
München, Germany</span>
       </a>
     </p>
   </div>


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