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     new a6829ea  Automatic Site Publish by Buildbot
a6829ea is described below

commit a6829eaa2926f8028d07dbbf9edd02b365d5cd46
Author: buildbot <[email protected]>
AuthorDate: Wed Dec 27 13:14:05 2023 +0000

    Automatic Site Publish by Buildbot
---
 output/documentation/index.html | 10 +++++-----
 output/index.html               | 19 +++++++++----------
 2 files changed, 14 insertions(+), 15 deletions(-)

diff --git a/output/documentation/index.html b/output/documentation/index.html
index 6f45be7..2146a33 100644
--- a/output/documentation/index.html
+++ b/output/documentation/index.html
@@ -211,19 +211,19 @@
 <p>This approach aims at freeing data engineers and software developers from 
the burden of knowing the zoo of different data processing systems, their APIs, 
strengths and weakness; the intricacies of coordinating and integrating 
different processing platforms; and the inflexibility when tying to a fix set 
of processing platforms. As of now, Apache Wayang has built in support for the 
following processing platforms:</p>
 
 <ul>
-  <li>Java 8 Streams</li>
+  <li>Java Streams</li>
   <li><a href="https://spark.apache.org/";>Apache Spark</a></li>
-  <li><a href="https://github.com/GraphChi/graphchi-java";>GraphChi</a></li>
+  <li><a href="https://flink.apache.org";>Apache Flink</a></li>
   <li><a href="http://www.postgresql.org";>Postgres</a></li>
   <li><a href="https://www.sqlite.org/";>SQLite</a></li>
-  <li><a href="https://flink.apache.org";>Apache Flink</a></li>
+  <li><a href="https://github.com/GraphChi/graphchi-java";>Apache 
Giraph</a></li>
 </ul>
 
 <h2 id="how-to-use-apache-wayang">How to use Apache Wayang</h2>
 
 <h3 id="requirements">Requirements:</h3>
 
-<p>Apache Wayang is built with Java 8 and Scala 2.11. However, to execute 
Apache Wayang it is sufficient to have Java 8 installed. If you want to build 
Apache Wayang yourself, you will also need to have <a 
href="http://maven.apache.org";>Apache Maven</a> installed. Please also consider 
that processing platforms employed by Apache Wayang might have further 
requirements.</p>
+<p>Apache Wayang is built with Java 11 and Scala 2.12. However, to execute 
Apache Wayang it is sufficient to have Java 8 installed. If you want to build 
Apache Wayang yourself, you will also need to have <a 
href="http://maven.apache.org";>Apache Maven</a> installed. Please also consider 
that processing platforms employed by Apache Wayang might have further 
requirements.</p>
 
 <h3 id="get-apache-wayang">Get Apache Wayang:</h3>
 
@@ -232,7 +232,7 @@
 <div class="language-xml highlighter-rouge"><div class="highlight"><pre 
class="highlight"><code><span class="nt">&lt;dependency&gt;</span>
     <span class="nt">&lt;groupId&gt;</span>org.apache.wayang<span 
class="nt">&lt;/groupId&gt;</span>
     <span class="nt">&lt;artifactId&gt;</span>wayang-***<span 
class="nt">&lt;/artifactId&gt;</span>
-    <span class="nt">&lt;version&gt;</span>0.6.0<span 
class="nt">&lt;/version&gt;</span>
+    <span class="nt">&lt;version&gt;</span>0.7.1<span 
class="nt">&lt;/version&gt;</span>
 <span class="nt">&lt;/dependency&gt;</span>
 </code></pre></div></div>
 
diff --git a/output/index.html b/output/index.html
index aa1e9f7..792dbec 100644
--- a/output/index.html
+++ b/output/index.html
@@ -207,12 +207,12 @@
             <div class="col h-100 text-center flex-wrap" >
                     <h1 class="display-4 " style="font-size: 3rem; color: 
#a00e5a; font-weight: 900;">
                         <strong>
-                            Federated Data Processing Engine
+                            Federated Data Analytics
 
                         </strong>
                     </h1>
                     <h2 style="font-size: 2rem; color: #a00e5a; font-weight: 
500; margin-bottom: 40px">
-                            Enabling Data Regulation Compliant Application 
Agnosticism 
+                            Enabling Engine Agnosticism and Data Regulation 
Compliance
 
                     </h2>
                 </div>
@@ -223,8 +223,8 @@
     <div class="container">
             <p class="lead p-2 ">
                 <strong>
-                    Apache Wayang is an API-first system designed to fully 
support cross-platform data processing: Wayang enables users to run data 
analytics over multiple data processing platforms, without changing the native 
code. </br>
-Wayang provides an abstraction on top of existing platforms in order to run 
data processing and analytic tasks on top of any set of platforms. As a result, 
users can focus on the logics of their applications rather on the intricacies 
of the underlying platforms.
+                    Apache Wayang is a system designed to fully support 
unified and federated data processing: Wayang enables users to run data 
analytics over multiple data processing engines, without changing their native 
code. </br>
+Wayang provides an abstraction on top of existing platforms in order to run 
data processing and analytic tasks on top of any set of platforms. As a result, 
Apache Wayang (incubating) frees data engineers and software developers from 
the burden of learning all different data processing systems, their APIs, 
strengths and weaknesses; the intricacies of coordinating and integrating 
different processing platforms; and the inflexibility when trying a fixed set 
of processing platforms.
 
                 </strong>
             </p>
@@ -234,13 +234,13 @@ Wayang provides an abstraction on top of existing 
platforms in order to run data
 <section class="container-fluid p-0 mt-n3 mb-n3" 
style="background-color:#ffffff !important ">
         <div class="container ">
             <p class="display-4 p-2 text-center">
-                Turning shadows into a show
+                Adding a virtualization layer on top of multiple execution 
engines
             </p>
         </div>
         <div class="container text-center">
             <p class="lead p-2">
                 <strong>
-                    Read more on how Apache Wayang converts the light and 
shadows of data processing platforms to amazing theatre for you.
+                    In contrast to traditional data processing systems that 
provide one dedicated execution engine, Apache Wayang (incubating) can 
transparently and seamlessly integrate multiple execution engines and use them 
to perform a single task. In Wayang, users can specify any data processing 
application using one of Wayang's APIs and then Wayang will choose the data 
processing platform(s), e.g., Postgres or Apache Spark, that best fits the 
application. Finally, Wayang will perfor [...]
 
                 </strong>
             </p>
@@ -256,7 +256,7 @@ Wayang provides an abstraction on top of existing platforms 
in order to run data
         <div class="d-flex justify-content-center tx-shadow">
             <p class="lead p-2">
                 <strong>
-                    How we move the strings for you
+                    What Apache Wayang can do for you
                 </strong>
             </p>
         </div>
@@ -352,14 +352,13 @@ Wayang provides an abstraction on top of existing 
platforms in order to run data
     <div class="container">
         <div class="d-flex justify-content-center">
             <p class="display-4 p-2">
-                Why is Apache Wayang faster as other, modern frameworks?
+                Why is Apache Wayang faster than other modern frameworks?
             </p>
         </div>
         <div class="d-flex justify-content-center">
             <p class="lead p-2">
                 <strong>
-                    Apache Wayang uses internal optimization patterns to 
detect the best possible combination of computation and nodes. We know, just 
adding more nodes into a cluster doesn't mean more speed; each additional node 
has several tradeoffs, be it shuffle or communication bottlenecks.
-Apache Wayang understands the UDF's and optimizes the function for the 
underlying processing platform. It also uses small JVM instances to reduce the 
operational overhead when processing a reduced number of data points.
+                    Apache Wayang uses query optimization and AI to detect the 
best possible combination of execution engines. By combining multiple execution 
engines, one can gain significant performance. Apache Wayang understands the 
UDFs and optimizes the function for the underlying processing platform. It also 
uses small JVM instances to reduce the operational overhead when processing a 
reduced number of data points.
 
                 </strong>
             </p>

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