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The following commit(s) were added to refs/heads/deploy by this push:
new 3634a8fd deploy: 4b9f9a10aab06677774b852cfb1529408fe85a5f
3634a8fd is described below
commit 3634a8fd2f3c1385ffd9d276f4d5bbb9fa37c4bf
Author: 2pk03 <[email protected]>
AuthorDate: Sun Mar 10 10:05:07 2024 +0000
deploy: 4b9f9a10aab06677774b852cfb1529408fe85a5f
---
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blog/archive/index.html | 4 ++--
blog/atom.xml | 8 ++++----
blog/index.html | 8 ++++----
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blog/kafka-meets-wayang-2/index.html | 8 ++++----
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blog/tags/trino/index.html | 4 ++--
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blog/website_update/index.html | 4 ++--
docs/community/committer/index.html | 4 ++--
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docs/introduction/benchmark/index.html | 4 ++--
docs/introduction/features/index.html | 4 ++--
docs/start/download/index.html | 4 ++--
index.html | 4 ++--
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52 files changed, 98 insertions(+), 98 deletions(-)
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index df123916..e8f6934b 100644
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<p>This article is the first of a four part series about federated data
analysis using Apache Wayang.
The first article starts with an introduction of a typical data colaboration
scenario which will emerge in our digital future.</p>
<p>In part two and three we will share a summary of our Apache Kafka client
implementation for Apache Wayang.
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diff --git a/blog/atom.xml b/blog/atom.xml
index 321ae0b2..bea9219f 100644
--- a/blog/atom.xml
+++ b/blog/atom.xml
@@ -2,7 +2,7 @@
<feed xmlns="http://www.w3.org/2005/Atom";>
<id>https://wayang.apache.org/blog</id>
<title>Apache Wayang (incubating) Blog</title>
- <updated>2024-03-10T10:01:35.000Z</updated>
+ <updated>2024-03-10T10:04:13.000Z</updated>
<generator>https://github.com/jpmonette/feed</generator>
<link rel="alternate" href="https://wayang.apache.org/blog"/>
<subtitle>Apache Wayang (incubating) Blog</subtitle>
@@ -11,7 +11,7 @@
<title type="html"><![CDATA[Apache Kafka meets Apache Wayang - Part
1]]></title>
<id>https://wayang.apache.org/blog/Apache Kafka meets Apache
Wayang</id>
<link href="https://wayang.apache.org/blog/Apache Kafka meets Apache
Wayang"/>
- <updated>2024-03-10T10:01:35.000Z</updated>
+ <updated>2024-03-10T10:04:13.000Z</updated>
<summary type="html"><![CDATA[Intro]]></summary>
<content type="html"><![CDATA[<h2 class="anchor
anchorWithStickyNavbar_LWe7" id="intro">Intro<a
href="https://wayang.apache.org/blog/Apache%20Kafka%20meets%20Apache%20Wayang#intro";
class="hash-link" aria-label="Direct link to Intro" title="Direct link to
Intro"></a></h2>
<p>This article is the first of a four part series about federated data
analysis using Apache Wayang.
@@ -69,7 +69,7 @@ Later, we want to switch to Apache Spark.</p>]]></content>
<title type="html"><![CDATA[Apache Kafka meets Apache Wayang - Part
2]]></title>
<id>https://wayang.apache.org/blog/Apache Kafka meets Apache
Wayang</id>
<link href="https://wayang.apache.org/blog/Apache Kafka meets Apache
Wayang"/>
- <updated>2024-03-10T10:01:35.000Z</updated>
+ <updated>2024-03-10T10:04:13.000Z</updated>
<summary type="html"><![CDATA[In the second part of the article series
we describe the implementation of the Kafka Source and Kafka Sink component for
Apache Wayang.]]></summary>
<content type="html"><![CDATA[<h2 class="anchor
anchorWithStickyNavbar_LWe7" id="intro">Intro<a
href="https://wayang.apache.org/blog/Apache%20Kafka%20meets%20Apache%20Wayang#intro";
class="hash-link" aria-label="Direct link to Intro" title="Direct link to
Intro"></a></h2>
<p>This article is the first of a four part series about federated data
analysis using Apache Wayang.
@@ -127,7 +127,7 @@ Later, we want to switch to Apache Spark.</p>]]></content>
<title type="html"><![CDATA[Apache Kafka meets Apache Wayang - Part
3]]></title>
<id>https://wayang.apache.org/blog/kafka-meets-wayang-2</id>
<link href="https://wayang.apache.org/blog/kafka-meets-wayang-2"/>
- <updated>2024-03-10T10:01:35.000Z</updated>
+ <updated>2024-03-10T00:00:00.000Z</updated>
<summary type="html"><![CDATA[The third part of this article series is
an activity log.]]></summary>
<content type="html"><![CDATA[<p>The third part of this article series
is an activity log.
Motivated by the learnings from last time, I stated implementing a Kafka
Source component and a Kafka Sink component for the Apache Spark platform in
Apache Wayang.
diff --git a/blog/index.html b/blog/index.html
index de4ba28e..a238697a 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -5,11 +5,11 @@
<meta name="generator" content="Docusaurus v3.1.1">
<title data-rh="true">Blog | Apache Wayang (incubating)</title><meta
data-rh="true" name="viewport"
content="width=device-width,initial-scale=1"><meta data-rh="true"
name="twitter:card" content="summary_large_image"><meta data-rh="true"
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title="Apache Wayang (incubating) Atom Feed"><link rel="stylesheet"
href="/assets/css/styles.ecf70413.css">
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We look into the “Read- and Write-Path” for our data items, called
<em>DataQuanta</em>.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7"
id="apache-wayangs-read--write-path-for-kafka-topics">Apache Wayang’s Read
& Write Path for Kafka topics<a
href="#apache-wayangs-read--write-path-for-kafka-topics" class="hash-link"
aria-label="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics" title="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics"></a></h2>
<p>To describe the read and write paths for data in the context of the created
Apache Wayang code snippet, the primary classes and interfaces we need to
understand are as follows:</p>
@@ -66,7 +66,7 @@ The layer above handles the mapping of the components at
startup time.
All this wiring is needed to keep Wayang open and flexible so that multiple
external systems can be used in a variety of combinations and using multiple
target platforms in combinations.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7" id="outlook">Outlook<a
href="#outlook" class="hash-link" aria-label="Direct link to Outlook"
title="Direct link to Outlook"></a></h2>
<p>The next part of the article series will cover the creation of an Kafka
Source and Sink component for the Apache Spark platform, which allows our use
case to scale.
-Finally, in part four we bring all puzzles together, and show the full
implementation of the multi organizational data collaboration use
case.</p></div><footer class="row docusaurus-mt-lg"><div
class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li
class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0"
href="/blog/tags/wayang">wayang</a></li><li class="tag_QGVx"><a class="tag_zVej
tagRegular_sFm0" href="/blog/tags/kafka">kafka</a></li><li class="tag_QGVx"><a
class= [...]
+Finally, in part four we bring all puzzles together, and show the full
implementation of the multi organizational data collaboration use
case.</p></div><footer class="row docusaurus-mt-lg"><div
class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li
class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0"
href="/blog/tags/wayang">wayang</a></li><li class="tag_QGVx"><a class="tag_zVej
tagRegular_sFm0" href="/blog/tags/kafka">kafka</a></li><li class="tag_QGVx"><a
class= [...]
We look into the “Read- and Write-Path” for our data items, called
<em>DataQuanta</em>.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7"
id="apache-wayangs-read--write-path-for-kafka-topics">Apache Wayang’s Read
& Write Path for Kafka topics<a
href="#apache-wayangs-read--write-path-for-kafka-topics" class="hash-link"
aria-label="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics" title="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics"></a></h2>
<p>To describe the read and write paths for data in the context of the created
Apache Wayang code snippet, the primary classes and interfaces we need to
understand are as follows:</p>
diff --git a/blog/kafka-meets-wayang-1/index.html
b/blog/kafka-meets-wayang-1/index.html
index a4a78a3d..d4d8f8fc 100644
--- a/blog/kafka-meets-wayang-1/index.html
+++ b/blog/kafka-meets-wayang-1/index.html
@@ -5,8 +5,8 @@
<meta name="generator" content="Docusaurus v3.1.1">
<title data-rh="true">Apache Kafka meets Apache Wayang - Part 1 | Apache
Wayang (incubating)</title><meta data-rh="true" name="viewport"
content="width=device-width,initial-scale=1"><meta data-rh="true"
name="twitter:card" content="summary_large_image"><meta data-rh="true"
property="og:url"
content="https://wayang.apache.org/blog/kafka-meets-wayang-1";><meta
data-rh="true" property="og:locale" content="en"><meta data-rh="true"
name="docusaurus_locale" content="en"><meta data-rh="true" nam [...]
<link rel="alternate" type="application/atom+xml" href="/blog/atom.xml"
title="Apache Wayang (incubating) Atom Feed"><link rel="stylesheet"
href="/assets/css/styles.ecf70413.css">
-<script src="/assets/js/runtime~main.ddd519fc.js" defer="defer"></script>
-<script src="/assets/js/main.0b99b58d.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.eb3f6612.js" defer="defer"></script>
+<script src="/assets/js/main.32bfa544.js" defer="defer"></script>
</head>
<body class="navigation-with-keyboard">
<script>!function(){function
t(t){document.documentElement.setAttribute("data-theme",t)}var
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diff --git a/blog/kafka-meets-wayang-2/index.html
b/blog/kafka-meets-wayang-2/index.html
index fcbc6c99..febc2b59 100644
--- a/blog/kafka-meets-wayang-2/index.html
+++ b/blog/kafka-meets-wayang-2/index.html
@@ -3,13 +3,13 @@
<head>
<meta charset="UTF-8">
<meta name="generator" content="Docusaurus v3.1.1">
-<title data-rh="true">Apache Kafka meets Apache Wayang - Part 3 | Apache
Wayang (incubating)</title><meta data-rh="true" name="viewport"
content="width=device-width,initial-scale=1"><meta data-rh="true"
name="twitter:card" content="summary_large_image"><meta data-rh="true"
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content="https://wayang.apache.org/blog/kafka-meets-wayang-2";><meta
data-rh="true" property="og:locale" content="en"><meta data-rh="true"
name="docusaurus_locale" content="en"><meta data-rh="true" nam [...]
+<title data-rh="true">Apache Kafka meets Apache Wayang - Part 3 | Apache
Wayang (incubating)</title><meta data-rh="true" name="viewport"
content="width=device-width,initial-scale=1"><meta data-rh="true"
name="twitter:card" content="summary_large_image"><meta data-rh="true"
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+<script src="/assets/js/runtime~main.eb3f6612.js" defer="defer"></script>
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+<script>!function(){function
t(t){document.documentElement.setAttribute("data-theme",t)}var
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a)if(t.startsWith("docusaurus-data-")){var
n=t.replace("docusaurus-data-","data-");document.documentElement.se [...]
Motivated by the learnings from last time, I stated implementing a Kafka
Source component and a Kafka Sink component for the Apache Spark platform in
Apache Wayang.
In our previous article we shared the results of the work on the frist Apache
Kafka integration using the Java Platform.</p>
<p>Let's see how it goes this time with Apache Spark.</p>
diff --git a/blog/rss.xml b/blog/rss.xml
index f19265ce..41d088b3 100644
--- a/blog/rss.xml
+++ b/blog/rss.xml
@@ -4,7 +4,7 @@
<title>Apache Wayang (incubating) Blog</title>
<link>https://wayang.apache.org/blog</link>
<description>Apache Wayang (incubating) Blog</description>
- <lastBuildDate>Sun, 10 Mar 2024 10:01:35 GMT</lastBuildDate>
+ <lastBuildDate>Sun, 10 Mar 2024 10:04:13 GMT</lastBuildDate>
<docs>https://validator.w3.org/feed/docs/rss2.html</docs>
<generator>https://github.com/jpmonette/feed</generator>
<language>en</language>
@@ -12,7 +12,7 @@
<title><![CDATA[Apache Kafka meets Apache Wayang - Part
1]]></title>
<link>https://wayang.apache.org/blog/Apache Kafka meets Apache
Wayang</link>
<guid>https://wayang.apache.org/blog/Apache Kafka meets Apache
Wayang</guid>
- <pubDate>Sun, 10 Mar 2024 10:01:35 GMT</pubDate>
+ <pubDate>Sun, 10 Mar 2024 10:04:13 GMT</pubDate>
<description><![CDATA[Intro]]></description>
<content:encoded><![CDATA[<h2 class="anchor
anchorWithStickyNavbar_LWe7" id="intro">Intro<a
href="https://wayang.apache.org/blog/Apache%20Kafka%20meets%20Apache%20Wayang#intro";
class="hash-link" aria-label="Direct link to Intro" title="Direct link to
Intro"></a></h2>
<p>This article is the first of a four part series about federated data
analysis using Apache Wayang.
@@ -66,7 +66,7 @@ Later, we want to switch to Apache
Spark.</p>]]></content:encoded>
<title><![CDATA[Apache Kafka meets Apache Wayang - Part
2]]></title>
<link>https://wayang.apache.org/blog/Apache Kafka meets Apache
Wayang</link>
<guid>https://wayang.apache.org/blog/Apache Kafka meets Apache
Wayang</guid>
- <pubDate>Sun, 10 Mar 2024 10:01:35 GMT</pubDate>
+ <pubDate>Sun, 10 Mar 2024 10:04:13 GMT</pubDate>
<description><![CDATA[In the second part of the article series we
describe the implementation of the Kafka Source and Kafka Sink component for
Apache Wayang.]]></description>
<content:encoded><![CDATA[<h2 class="anchor
anchorWithStickyNavbar_LWe7" id="intro">Intro<a
href="https://wayang.apache.org/blog/Apache%20Kafka%20meets%20Apache%20Wayang#intro";
class="hash-link" aria-label="Direct link to Intro" title="Direct link to
Intro"></a></h2>
<p>This article is the first of a four part series about federated data
analysis using Apache Wayang.
@@ -120,7 +120,7 @@ Later, we want to switch to Apache
Spark.</p>]]></content:encoded>
<title><![CDATA[Apache Kafka meets Apache Wayang - Part
3]]></title>
<link>https://wayang.apache.org/blog/kafka-meets-wayang-2</link>
<guid>https://wayang.apache.org/blog/kafka-meets-wayang-2</guid>
- <pubDate>Sun, 10 Mar 2024 10:01:35 GMT</pubDate>
+ <pubDate>Sun, 10 Mar 2024 00:00:00 GMT</pubDate>
<description><![CDATA[The third part of this article series is an
activity log.]]></description>
<content:encoded><![CDATA[<p>The third part of this article series
is an activity log.
Motivated by the learnings from last time, I stated implementing a Kafka
Source component and a Kafka Sink component for the Apache Spark platform in
Apache Wayang.
diff --git a/blog/tags/cross-organization-data-collaboration/index.html
b/blog/tags/cross-organization-data-collaboration/index.html
index 920eab3c..a491a9b5 100644
--- a/blog/tags/cross-organization-data-collaboration/index.html
+++ b/blog/tags/cross-organization-data-collaboration/index.html
@@ -5,11 +5,11 @@
<meta name="generator" content="Docusaurus v3.1.1">
<title data-rh="true">5 posts tagged with "cross organization data
collaboration" | Apache Wayang (incubating)</title><meta data-rh="true"
name="viewport" content="width=device-width,initial-scale=1"><meta
data-rh="true" name="twitter:card" content="summary_large_image"><meta
data-rh="true" property="og:url"
content="https://wayang.apache.org/blog/tags/cross-organization-data-collaboration";><meta
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name="docusa [...]
<link rel="alternate" type="application/atom+xml" href="/blog/atom.xml"
title="Apache Wayang (incubating) Atom Feed"><link rel="stylesheet"
href="/assets/css/styles.ecf70413.css">
-<script src="/assets/js/runtime~main.ddd519fc.js" defer="defer"></script>
-<script src="/assets/js/main.0b99b58d.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.eb3f6612.js" defer="defer"></script>
+<script src="/assets/js/main.32bfa544.js" defer="defer"></script>
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n=t.replace("docusaurus-data-","data-");document.documentElement.se [...]
We look into the “Read- and Write-Path” for our data items, called
<em>DataQuanta</em>.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7"
id="apache-wayangs-read--write-path-for-kafka-topics">Apache Wayang’s Read
& Write Path for Kafka topics<a
href="#apache-wayangs-read--write-path-for-kafka-topics" class="hash-link"
aria-label="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics" title="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics"></a></h2>
<p>To describe the read and write paths for data in the context of the created
Apache Wayang code snippet, the primary classes and interfaces we need to
understand are as follows:</p>
@@ -66,7 +66,7 @@ The layer above handles the mapping of the components at
startup time.
All this wiring is needed to keep Wayang open and flexible so that multiple
external systems can be used in a variety of combinations and using multiple
target platforms in combinations.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7" id="outlook">Outlook<a
href="#outlook" class="hash-link" aria-label="Direct link to Outlook"
title="Direct link to Outlook"></a></h2>
<p>The next part of the article series will cover the creation of an Kafka
Source and Sink component for the Apache Spark platform, which allows our use
case to scale.
-Finally, in part four we bring all puzzles together, and show the full
implementation of the multi organizational data collaboration use
case.</p></div><footer class="row docusaurus-mt-lg"><div
class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li
class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0"
href="/blog/tags/wayang">wayang</a></li><li class="tag_QGVx"><a class="tag_zVej
tagRegular_sFm0" href="/blog/tags/kafka">kafka</a></li><li class="tag_QGVx"><a
class= [...]
+Finally, in part four we bring all puzzles together, and show the full
implementation of the multi organizational data collaboration use
case.</p></div><footer class="row docusaurus-mt-lg"><div
class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li
class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0"
href="/blog/tags/wayang">wayang</a></li><li class="tag_QGVx"><a class="tag_zVej
tagRegular_sFm0" href="/blog/tags/kafka">kafka</a></li><li class="tag_QGVx"><a
class= [...]
We look into the “Read- and Write-Path” for our data items, called
<em>DataQuanta</em>.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7"
id="apache-wayangs-read--write-path-for-kafka-topics">Apache Wayang’s Read
& Write Path for Kafka topics<a
href="#apache-wayangs-read--write-path-for-kafka-topics" class="hash-link"
aria-label="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics" title="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics"></a></h2>
<p>To describe the read and write paths for data in the context of the created
Apache Wayang code snippet, the primary classes and interfaces we need to
understand are as follows:</p>
diff --git a/blog/tags/index.html b/blog/tags/index.html
index c1838eef..ac3024a0 100644
--- a/blog/tags/index.html
+++ b/blog/tags/index.html
@@ -5,8 +5,8 @@
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<title data-rh="true">Tags | Apache Wayang (incubating)</title><meta
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content="width=device-width,initial-scale=1"><meta data-rh="true"
name="twitter:card" content="summary_large_image"><meta data-rh="true"
property="og:url" content="https://wayang.apache.org/blog/tags";><meta
data-rh="true" property="og:locale" content="en"><meta data-rh="true"
name="docusaurus_locale" content="en"><meta data-rh="true"
name="docsearch:language" content="en"><meta data-rh="tr [...]
<link rel="alternate" type="application/atom+xml" href="/blog/atom.xml"
title="Apache Wayang (incubating) Atom Feed"><link rel="stylesheet"
href="/assets/css/styles.ecf70413.css">
-<script src="/assets/js/runtime~main.ddd519fc.js" defer="defer"></script>
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diff --git a/blog/tags/kafka/index.html b/blog/tags/kafka/index.html
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We look into the “Read- and Write-Path” for our data items, called
<em>DataQuanta</em>.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7"
id="apache-wayangs-read--write-path-for-kafka-topics">Apache Wayang’s Read
& Write Path for Kafka topics<a
href="#apache-wayangs-read--write-path-for-kafka-topics" class="hash-link"
aria-label="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics" title="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics"></a></h2>
<p>To describe the read and write paths for data in the context of the created
Apache Wayang code snippet, the primary classes and interfaces we need to
understand are as follows:</p>
@@ -66,7 +66,7 @@ The layer above handles the mapping of the components at
startup time.
All this wiring is needed to keep Wayang open and flexible so that multiple
external systems can be used in a variety of combinations and using multiple
target platforms in combinations.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7" id="outlook">Outlook<a
href="#outlook" class="hash-link" aria-label="Direct link to Outlook"
title="Direct link to Outlook"></a></h2>
<p>The next part of the article series will cover the creation of an Kafka
Source and Sink component for the Apache Spark platform, which allows our use
case to scale.
-Finally, in part four we bring all puzzles together, and show the full
implementation of the multi organizational data collaboration use
case.</p></div><footer class="row docusaurus-mt-lg"><div
class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li
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class= [...]
+Finally, in part four we bring all puzzles together, and show the full
implementation of the multi organizational data collaboration use
case.</p></div><footer class="row docusaurus-mt-lg"><div
class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li
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class= [...]
We look into the “Read- and Write-Path” for our data items, called
<em>DataQuanta</em>.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7"
id="apache-wayangs-read--write-path-for-kafka-topics">Apache Wayang’s Read
& Write Path for Kafka topics<a
href="#apache-wayangs-read--write-path-for-kafka-topics" class="hash-link"
aria-label="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics" title="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics"></a></h2>
<p>To describe the read and write paths for data in the context of the created
Apache Wayang code snippet, the primary classes and interfaces we need to
understand are as follows:</p>
diff --git a/blog/tags/presto/index.html b/blog/tags/presto/index.html
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We look into the “Read- and Write-Path” for our data items, called
<em>DataQuanta</em>.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7"
id="apache-wayangs-read--write-path-for-kafka-topics">Apache Wayang’s Read
& Write Path for Kafka topics<a
href="#apache-wayangs-read--write-path-for-kafka-topics" class="hash-link"
aria-label="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics" title="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics"></a></h2>
<p>To describe the read and write paths for data in the context of the created
Apache Wayang code snippet, the primary classes and interfaces we need to
understand are as follows:</p>
@@ -66,7 +66,7 @@ The layer above handles the mapping of the components at
startup time.
All this wiring is needed to keep Wayang open and flexible so that multiple
external systems can be used in a variety of combinations and using multiple
target platforms in combinations.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7" id="outlook">Outlook<a
href="#outlook" class="hash-link" aria-label="Direct link to Outlook"
title="Direct link to Outlook"></a></h2>
<p>The next part of the article series will cover the creation of an Kafka
Source and Sink component for the Apache Spark platform, which allows our use
case to scale.
-Finally, in part four we bring all puzzles together, and show the full
implementation of the multi organizational data collaboration use
case.</p></div><footer class="row docusaurus-mt-lg"><div
class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li
class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0"
href="/blog/tags/wayang">wayang</a></li><li class="tag_QGVx"><a class="tag_zVej
tagRegular_sFm0" href="/blog/tags/kafka">kafka</a></li><li class="tag_QGVx"><a
class= [...]
+Finally, in part four we bring all puzzles together, and show the full
implementation of the multi organizational data collaboration use
case.</p></div><footer class="row docusaurus-mt-lg"><div
class="col"><b>Tags:</b><ul class="tags_jXut padding--none margin-left--sm"><li
class="tag_QGVx"><a class="tag_zVej tagRegular_sFm0"
href="/blog/tags/wayang">wayang</a></li><li class="tag_QGVx"><a class="tag_zVej
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We look into the “Read- and Write-Path” for our data items, called
<em>DataQuanta</em>.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7"
id="apache-wayangs-read--write-path-for-kafka-topics">Apache Wayang’s Read
& Write Path for Kafka topics<a
href="#apache-wayangs-read--write-path-for-kafka-topics" class="hash-link"
aria-label="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics" title="Direct link to Apache Wayang’s Read & Write Path for Kafka
topics"></a></h2>
<p>To describe the read and write paths for data in the context of the created
Apache Wayang code snippet, the primary classes and interfaces we need to
understand are as follows:</p>
diff --git a/blog/wayang-vs-trino/index.html b/blog/wayang-vs-trino/index.html
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