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Posted to commits@airflow.apache.org by gi...@apache.org on 2022/07/27 14:03:12 UTC

[airflow-site] branch gh-pages updated: Deploying to gh-pages from @ 445586c1552918e9531cd13d9cd64c0e63f5da03 🚀

This is an automated email from the ASF dual-hosted git repository.

github-bot pushed a commit to branch gh-pages
in repository https://gitbox.apache.org/repos/asf/airflow-site.git


The following commit(s) were added to refs/heads/gh-pages by this push:
     new b11778de01 Deploying to gh-pages from  @ 445586c1552918e9531cd13d9cd64c0e63f5da03 🚀
b11778de01 is described below

commit b11778de01226023f507c75ba5f8b4af5e8e15b6
Author: potiuk <ja...@potiuk.com>
AuthorDate: Wed Jul 27 14:03:04 2022 +0000

    Deploying to gh-pages from  @ 445586c1552918e9531cd13d9cd64c0e63f5da03 🚀
---
 blog/airflow-1.10.10/index.html                    |  4 +-
 blog/airflow-1.10.12/index.html                    |  4 +-
 blog/airflow-1.10.8-1.10.9/index.html              |  4 +-
 blog/airflow-2.2.0/index.html                      |  4 +-
 blog/airflow-2.3.0/index.html                      |  4 +-
 blog/airflow-survey-2020/index.html                |  4 +-
 blog/airflow-survey-2022/index.html                |  4 +-
 blog/airflow-survey/index.html                     |  4 +-
 blog/airflow-two-point-oh-is-here/index.html       |  4 +-
 blog/airflow_summit_2021/index.html                |  4 +-
 blog/airflow_summit_2022/index.html                |  4 +-
 blog/announcing-new-website/index.html             |  4 +-
 blog/apache-airflow-for-newcomers/index.html       |  4 +-
 .../index.html                                     |  4 +-
 .../index.html                                     |  4 +-
 .../index.html                                     |  4 +-
 .../index.html                                     |  4 +-
 .../index.html                                     |  4 +-
 .../index.html                                     |  4 +-
 ecosystem/index.html                               |  1 +
 index.html                                         | 32 +++----
 search/index.html                                  |  4 +-
 sitemap.xml                                        | 98 +++++++++++-----------
 use-cases/adobe/index.html                         |  4 +-
 use-cases/adyen/index.html                         |  4 +-
 use-cases/big-fish-games/index.html                |  4 +-
 use-cases/dish/index.html                          |  4 +-
 use-cases/experity/index.html                      |  4 +-
 use-cases/onefootball/index.html                   |  4 +-
 use-cases/plarium-krasnodar/index.html             |  4 +-
 use-cases/seniorlink/index.html                    |  4 +-
 use-cases/sift/index.html                          |  4 +-
 32 files changed, 124 insertions(+), 123 deletions(-)

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diff --git a/ecosystem/index.html b/ecosystem/index.html
index 18f05c6b52..d961d6f540 100644
--- a/ecosystem/index.html
+++ b/ecosystem/index.html
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 <p><a href="https://registry.astronomer.io/">Astronomer Registry</a> - The discovery and distribution hub for Apache Airflow integrations created to aggregate and curate the best bits of the ecosystem.</p>
 <p><a href="https://github.com/airflow-plugins/">Airflow Plugins</a> - Central collection of repositories of various plugins for Airflow, including mailchimp, trello, sftp, GitHub, etc.</p>
 <p><a href="https://github.com/asandeep/airflow-ecr-plugin">Airflow ECR Plugin</a> - Plugin to refresh AWS ECR login token at regular intervals. This is helpful where DockerOperator needs to pull images hosted on ECR.</p>
+<p><a href="https://github.com/4paradigm/OpenMLDB/tree/main/extensions/airflow-provider-openmldb">Airflow OpenMLDB Provider</a> - Airflow OpenMLDB Provider containing Operators for Feature Extraction on OpenMLDB.</p>
 <p> </p>
 <h2 id="async-providers">Async Providers</h2>
 <p><a href="https://github.com/astronomer/astronomer-providers">Astronomer Providers</a> - A collection of Async Operators and Sensors for Apache Airflow built and maintained by Astronomer.</p>
diff --git a/index.html b/index.html
index 64e1a4efc8..8bb57d6b08 100644
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 <div class="card">
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 <div class="card">
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 <div class="card">
     <div class="box-event box-event__integration">
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@@ -1294,12 +1294,12 @@
                 
                 
                 
-                <a class="list-item" href="/docs/apache-airflow-providers-google/stable/operators/cloud/text_to_speech.html">
+                <a class="list-item" href="/docs/apache-airflow-providers-amazon/stable/operators/redshift_data.html">
                     
 
 <div class="card">
     <div class="box-event box-event__integration">
-        <span class="box-event__integration--name">Google Cloud Text-to-Speech</span>
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 </div>
 
@@ -1307,12 +1307,12 @@
                 
                 
                 
-                <a class="list-item" href="/docs/apache-airflow-providers-trino/stable/index.html">
+                <a class="list-item" href="/docs/apache-airflow-providers-influxdb/stable/index.html">
                     
 
 <div class="card">
     <div class="box-event box-event__integration">
-        <span class="box-event__integration--name">Trino</span>
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 </div>
 
@@ -1320,12 +1320,12 @@
                 
                 
                 
-                <a class="list-item" href="/docs/apache-airflow-providers-google/stable/operators/cloud/automl.html">
+                <a class="list-item" href="/docs/apache-airflow-providers-cncf-kubernetes/stable/operators.html">
                     
 
 <div class="card">
     <div class="box-event box-event__integration">
-        <span class="box-event__integration--name">Google AutoML</span>
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index 3da242551e..b08aeded3d 100644
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index 017624873e..de708d7edd 100644
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     <loc>/blog/airflow_summit_2022/</loc>
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     <loc>/blog/airflow-2.3.0/</loc>
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   </url><url>
     <loc>/blog/tags/release/</loc>
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   </url><url>
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     <loc>/blog/tags/development/</loc>
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+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/blog/documenting-using-local-development-environments/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/blog/its-a-breeze-to-develop-apache-airflow/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/adobe/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/adyen/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/big-fish-games/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/blog/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/categories/</loc>
   </url><url>
     <loc>/community/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/dish/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/ecosystem/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/experity/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/install/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/meetups/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/onefootball/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/plarium-krasnodar/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/privacy-notice/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/roadmap/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/search/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/seniorlink/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/sift/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url><url>
     <loc>/use-cases/</loc>
-    <lastmod>2022-07-22T15:36:09+02:00</lastmod>
+    <lastmod>2022-07-27T21:52:11+08:00</lastmod>
   </url>
 </urlset>
diff --git a/use-cases/adobe/index.html b/use-cases/adobe/index.html
index 20a6ef0a48..e86bc39b83 100644
--- a/use-cases/adobe/index.html
+++ b/use-cases/adobe/index.html
@@ -34,11 +34,11 @@
 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/adobe/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Adobe">
 <meta itemprop="description" content="What was the problem? Modern big data platforms need sophisticated data pipelines connecting to many backend services enabling complex workflows. These workflows need to be deployed, monitored, and run either on regular schedules or triggered by external events. Adobe Experience Platform component services architected and built an orchestration service to enable their users to author, schedule, and monitor complex hierarchical (including sequential a [...]
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
+<meta itemprop="dateModified" content="2022-07-27T21:52:11+08:00" />
 <meta itemprop="wordCount" content="251"><meta itemprop="image" content="/images/feature-image.png"/>
 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
 <meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/adyen/index.html b/use-cases/adyen/index.html
index 699fb3b9b1..2f5026dc1e 100644
--- a/use-cases/adyen/index.html
+++ b/use-cases/adyen/index.html
@@ -34,11 +34,11 @@
 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/adyen/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Adyen">
 <meta itemprop="description" content="What was the problem? Many years ago we started out with our own orchestration framework. Due to all the required custom functionality it made sense at the time. However, quickly we realized creating an orchestration tool is not to be underestimated. With the quickly increasing number of users and teams, time spent on fixing issues increased, severely limiting development speed. Furthermore, due to it not being open source, we constantly had to make  [...]
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
+<meta itemprop="dateModified" content="2022-07-27T21:52:11+08:00" />
 <meta itemprop="wordCount" content="405"><meta itemprop="image" content="/images/feature-image.png"/>
 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
 <meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/big-fish-games/index.html b/use-cases/big-fish-games/index.html
index 4c63440c2f..f290bd2dc7 100644
--- a/use-cases/big-fish-games/index.html
+++ b/use-cases/big-fish-games/index.html
@@ -34,11 +34,11 @@
 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/big-fish-games/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Big Fish Games">
 <meta itemprop="description" content="What was the problem? The main challenge is the lack of standardized ETL workflow orchestration tools. PowerShell and Python-based ETL frameworks built in-house are currently used for scheduling and running analytical workloads. However, there is no web UI through which we can monitor these workflows and it requires additional effort to maintain this framework. These scheduled jobs based on external dependencies are not well suited to modern Big Data [...]
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
+<meta itemprop="dateModified" content="2022-07-27T21:52:11+08:00" />
 <meta itemprop="wordCount" content="336"><meta itemprop="image" content="/images/feature-image.png"/>
 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
 <meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/dish/index.html b/use-cases/dish/index.html
index 09d9c2a161..489ca8615f 100644
--- a/use-cases/dish/index.html
+++ b/use-cases/dish/index.html
@@ -34,11 +34,11 @@
 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/dish/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Dish">
 <meta itemprop="description" content="What was the problem? We faced increasing complexity managing lengthy crontabs with scheduling being an issue, this required carefully planning timing due to resource constraints, usage patterns, and especially custom code needed for retry logic. In the last case, having to verify success of previous jobs and/or steps prior to running the next. Furthermore, time to results is important, but we were increasingly relying on buffers for processing, wher [...]
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
+<meta itemprop="dateModified" content="2022-07-27T21:52:11+08:00" />
 <meta itemprop="wordCount" content="248"><meta itemprop="image" content="/images/feature-image.png"/>
 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
 <meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/experity/index.html b/use-cases/experity/index.html
index 58ccd89987..5fcea21cb7 100644
--- a/use-cases/experity/index.html
+++ b/use-cases/experity/index.html
@@ -35,12 +35,12 @@ How did Apache Airflow help to solve this problem? Ultimately we decided flexibl
 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/experity/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Experity">
 <meta itemprop="description" content="What was the problem? We had to deploy our complex, flagship app to multiple nodes in multiple ways. This required tasks to communicate across Windows nodes and coordinate timing perfectly. We did not want to buy an expensive enterprise scheduling tool and needed ultimate flexibility.
 How did Apache Airflow help to solve this problem? Ultimately we decided flexible, multi-node, DAG capable tooling was key and airflow was one of the few tools that fit that bill.">
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
+<meta itemprop="dateModified" content="2022-07-27T21:52:11+08:00" />
 <meta itemprop="wordCount" content="191"><meta itemprop="image" content="/images/feature-image.png"/>
 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
 <meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/onefootball/index.html b/use-cases/onefootball/index.html
index 3fa4e6be71..49f40f03a2 100644
--- a/use-cases/onefootball/index.html
+++ b/use-cases/onefootball/index.html
@@ -35,12 +35,12 @@ On top of that, new data tools appear each month: third party data sources, clou
 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/onefootball/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Onefootball">
 <meta itemprop="description" content="What was the problem? With millions of daily active users, managing the complexity of data engineering at Onefootball is a constant challenge. Lengthy crontabs, multiplication of custom API clients, erosion of confidence in the analytics served, increasing heroism (&ldquo;only one person can solve this issue&rdquo;). Those are the challenges that most teams face unless they consciously invest in their tools and processes.
 On top of that, new data tools appear each month: third party data sources, cloud providers solutions, different storage technologies&hellip; Managing all those integrations is costly and brittle, especially for small data engineering teams that are trying to do more with less.">
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
+<meta itemprop="dateModified" content="2022-07-27T21:52:11+08:00" />
 <meta itemprop="wordCount" content="294"><meta itemprop="image" content="/images/feature-image.png"/>
 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
 <meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/plarium-krasnodar/index.html b/use-cases/plarium-krasnodar/index.html
index ea6be62cae..53eb33f7fb 100644
--- a/use-cases/plarium-krasnodar/index.html
+++ b/use-cases/plarium-krasnodar/index.html
@@ -34,11 +34,11 @@
 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/plarium-krasnodar/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Plarium Krasnodar">
 <meta itemprop="description" content="What was the problem? Our Research &amp; Development department carries out various experiments, and in all of them, we need to create workflow orchestrations for solving tasks in game dev. Previously, we didn&rsquo;t have any suitable tools with a sufficient number of built-in functions, and we had to orchestrate processes manually and entirely from scratch every time. This led to difficulties with dependencies and monitoring when building complex w [...]
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
+<meta itemprop="dateModified" content="2022-07-27T21:52:11+08:00" />
 <meta itemprop="wordCount" content="257"><meta itemprop="image" content="/images/feature-image.png"/>
 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
 <meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/seniorlink/index.html b/use-cases/seniorlink/index.html
index c009d153e0..15109f2556 100644
--- a/use-cases/seniorlink/index.html
+++ b/use-cases/seniorlink/index.html
@@ -35,12 +35,12 @@ We had built a robust stack of batch processes to deliver value to the business,
 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/seniorlink/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Seniorlink">
 <meta itemprop="description" content="What was the problem? Here at Seniorlink, we provide services, support, and technology that engages family caregivers. One of our focuses is using data to bolster our knowledge and improve the experience of our users. Like many looking to build an effective data stack, we adopted a Python, Spark, Redshift, and Tableau core toolset.
 We had built a robust stack of batch processes to deliver value to the business, deploying these data services in AWS using a mixture of EMR, ECS, Lambda, and EC2.">
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
+<meta itemprop="dateModified" content="2022-07-27T21:52:11+08:00" />
 <meta itemprop="wordCount" content="400"><meta itemprop="image" content="/images/feature-image.png"/>
 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
 <meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/sift/index.html b/use-cases/sift/index.html
index 2af494a70d..88189a20ee 100644
--- a/use-cases/sift/index.html
+++ b/use-cases/sift/index.html
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 <meta property="og:type" content="article" />
 <meta property="og:url" content="/use-cases/sift/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
 
-<meta property="article:modified_time" content="2022-07-22T15:36:09+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-27T21:52:11+08:00" /><meta property="og:site_name" content="Apache Airflow" />
 
 <meta itemprop="name" content="Sift">
 <meta itemprop="description" content="What was the problem? At Sift, we’re constantly training machine learning models that feed into the core of Sift’s Digital Trust &amp; Safety platform. The platform gives our customers a way to discern suspicious online behavior from trustworthy behavior, allowing our customers to protect their online transactions, maintain the integrity of their content platforms, and keep their users’ accounts secure. To make this possible, we’ve built model traini [...]
-<meta itemprop="dateModified" content="2022-07-22T15:36:09+02:00" />
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 <meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
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