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Posted to commits@airflow.apache.org by gi...@apache.org on 2023/01/10 16:41:28 UTC
[airflow-site] branch gh-pages updated: Deploying to gh-pages from @ b58269ec97590c84839d41eb2bc0d3c2abf7c736 🚀
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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 3853524f3c Deploying to gh-pages from @ b58269ec97590c84839d41eb2bc0d3c2abf7c736 🚀
3853524f3c is described below
commit 3853524f3c1138577997f4cdcc231028796684e7
Author: kaxil <ka...@gmail.com>
AuthorDate: Tue Jan 10 16:41:21 2023 +0000
Deploying to gh-pages from @ b58269ec97590c84839d41eb2bc0d3c2abf7c736 🚀
---
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-2.4.0/index.html | 4 +-
blog/airflow-2.5.0/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 | 100 ++++++++++-----------
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 +-
34 files changed, 129 insertions(+), 128 deletions(-)
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<meta itemprop="description" content="We are thrilled about our new website!"><meta itemprop="datePublished" content="2019-12-11T00:00:00+00:00" />
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diff --git a/blog/apache-airflow-for-newcomers/index.html b/blog/apache-airflow-for-newcomers/index.html
index e1f54999fb..cfc92e2c0b 100644
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@@ -35,12 +35,12 @@ Authoring Workflow in Apache Airflow. Airflow makes it easy to author workflows
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<meta itemprop="name" content="Apache Airflow For Newcomers">
<meta itemprop="description" content="Apache Airflow is a platform to programmatically author, schedule, and monitor workflows. A workflow is a sequence of tasks that processes a set of data. You can think of workflow as the path that describes how tasks go from being undone to done. Scheduling, on the other hand, is the process of planning, controlling, and optimizing when a particular task should be done.
Authoring Workflow in Apache Airflow. Airflow makes it easy to author workflows using python scripts."><meta itemprop="datePublished" content="2020-08-17T00:00:00+00:00" />
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index 5b61711ad8..9fa738017d 100644
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<meta itemprop="name" content="ApacheCon Europe 2019 — Thoughts and Insights by Airflow Committers">
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index 6a36db2d31..cdbef507ef 100644
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<meta itemprop="name" content="Documenting using local development environment">
<meta itemprop="description" content="The story behind documenting local development environment of Apache Airflow"><meta itemprop="datePublished" content="2019-11-22T00:00:00+00:00" />
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index 6639ae4250..7722616227 100644
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index b5e1d85eb8..9697d683b0 100644
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diff --git a/ecosystem/index.html b/ecosystem/index.html
index 8448b38542..61f5dd4c03 100644
--- a/ecosystem/index.html
+++ b/ecosystem/index.html
@@ -442,6 +442,7 @@
<p><a href="https://github.com/angadsingh/airflow-ditto">Airflow Ditto</a> - An extensible framework to do transformations to an Airflow DAG and convert it into another DAG which is flow-isomorphic with the original DAG, to be able to run it on different environments (e.g. on different clouds, or even different container frameworks - Apache Spark on YARN vs Kubernetes). Comes with out-of-the-box support for EMR-to-HDInsight-DAG transforms.</p>
<p><a href="https://github.com/amundsen-io/amundsen">Amundsen</a> - Amundsen is a data discovery and metadata platform for improving the productivity of data analysts, data scientists and engineers when interacting with data. It can surface which Airflow task generates a given table.</p>
<p><a href="https://github.com/apache/incubator-liminal">Apache-Liminal-Incubating</a> - Liminal provides a domain-specific-language (DSL) to build ML/AI workflows on top of Apache Airflow. Its goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production.</p>
+<p><a href="https://github.com/astronomer/astro-sdk">Astro SDK</a> - Astro SDK allows rapid and clean development of Extract, Load, Transform workflows using Python and SQL, powered by Apache Airflow and maintained by Astronomer.</p>
<p><a href="https://github.com/trejas/chartis">Chartis</a> - Python package to convert Common Workflow Language (CWL) into Airflow DAG.</p>
<p><a href="https://github.com/Barski-lab/cwl-airflow">CWL-Airflow</a> - Python package to extend Apache-Airflow 1.10.11 functionality with CWL v1.2 support.</p>
<p><a href="https://github.com/ajbosco/dag-factory">dag-factory</a> - A library for dynamically generating Apache Airflow DAGs from YAML configuration files.</p>
diff --git a/index.html b/index.html
index 6f87d4e711..c7a255956e 100644
--- a/index.html
+++ b/index.html
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<div id="integrations-container" class="list-items">
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+ <a class="list-item" href="/docs/apache-airflow-providers-amazon/stable/operators/dms.html">
<div class="card">
<div class="box-event box-event__integration">
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+ <span class="box-event__integration--name">AWS Database Migration Service</span>
</div>
</div>
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- <a class="list-item" href="/docs/apache-airflow-providers-databricks/stable/operators/submit_run.html">
+ <a class="list-item" href="/docs/apache-airflow-providers-plexus/stable/index.html">
<div class="card">
<div class="box-event box-event__integration">
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+ <span class="box-event__integration--name">Plexus</span>
</div>
</div>
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- <a class="list-item" href="/docs/apache-airflow-providers-telegram/stable/operators.html">
+ <a class="list-item" href="/docs/apache-airflow-providers-cncf-kubernetes/stable/index.html">
<div class="card">
<div class="box-event box-event__integration">
- <span class="box-event__integration--name">Telegram</span>
+ <span class="box-event__integration--name">Spark on Kubernetes</span>
</div>
</div>
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- <a class="list-item" href="/docs/apache-airflow-providers-exasol/stable/index.html">
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<div class="card">
<div class="box-event box-event__integration">
- <span class="box-event__integration--name">Exasol</span>
+ <span class="box-event__integration--name">Google Display&Video 360</span>
</div>
</div>
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- <a class="list-item" href="/docs/apache-airflow-providers-google/stable/index.html">
+ <a class="list-item" href="/docs/apache-airflow-providers-docker/stable/index.html">
<div class="card">
<div class="box-event box-event__integration">
- <span class="box-event__integration--name">Google Discovery API</span>
+ <span class="box-event__integration--name">Docker Swarm</span>
</div>
</div>
@@ -1255,12 +1255,12 @@
- <a class="list-item" href="/docs/apache-airflow-providers-microsoft-azure/stable/index.html">
+ <a class="list-item" href="/docs/apache-airflow-providers-google/stable/operators/cloud/pubsub.html">
<div class="card">
<div class="box-event box-event__integration">
- <span class="box-event__integration--name">Microsoft Azure Container Instances</span>
+ <span class="box-event__integration--name">Google Cloud Pub/Sub</span>
</div>
</div>
@@ -1268,12 +1268,12 @@
- <a class="list-item" href="/docs/apache-airflow-providers-pagerduty/stable/index.html">
+ <a class="list-item" href="/docs/apache-airflow-providers-amazon/stable/operators/lambda.html">
<div class="card">
<div class="box-event box-event__integration">
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+ <span class="box-event__integration--name">AWS Lambda</span>
</div>
</div>
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- <a class="list-item" href="/docs/apache-airflow-providers-google/stable/operators/cloud/dataproc_metastore.html">
+ <a class="list-item" href="/docs/apache-airflow-providers-google/stable/index.html">
<div class="card">
<div class="box-event box-event__integration">
- <span class="box-event__integration--name">Google Dataproc Metastore</span>
+ <span class="box-event__integration--name">Google Drive</span>
</div>
</div>
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index 9d60e1a6af..c94b7ea38e 100644
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<meta itemprop="name" content="Search Results">
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index fdd6ce8172..7cb130e594 100644
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<url>
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<loc>/blog/airflow-survey-2022/</loc>
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</url><url>
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<loc>/blog/airflow-two-point-oh-is-here/</loc>
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+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/experience-with-airflow-as-an-outreachy-intern/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
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</url><url>
<loc>/blog/airflow-1.10.12/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/apache-airflow-for-newcomers/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/announcements/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/implementing-stable-api-for-apache-airflow/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/tags/rest-api/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/airflow-1.10.10/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/airflow-1.10.8-1.10.9/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/tags/documentation/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/experience-in-google-season-of-docs-2019-with-apache-airflow/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/airflow-survey/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/announcing-new-website/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/apache-con-europe-2019-thoughts-and-insights-by-airflow-committers/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/tags/development/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/documenting-using-local-development-environments/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/its-a-breeze-to-develop-apache-airflow/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/adobe/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/adyen/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/big-fish-games/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/blog/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/categories/</loc>
</url><url>
<loc>/community/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/dish/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/ecosystem/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/experity/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/meetups/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/onefootball/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/plarium-krasnodar/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/privacy-notice/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/roadmap/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/search/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/seniorlink/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/sift/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url><url>
<loc>/use-cases/</loc>
- <lastmod>2023-01-06T15:25:16+01:00</lastmod>
+ <lastmod>2023-01-10T22:01:36+05:30</lastmod>
</url>
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diff --git a/use-cases/adobe/index.html b/use-cases/adobe/index.html
index 62e5751f35..3ee0297d3d 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="2023-01-06T15:25:16+01:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><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="2023-01-06T15:25:16+01:00" />
+<meta itemprop="dateModified" content="2023-01-10T22:01:36+05:30" />
<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 4da4e3d974..0c9a65beb9 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="2023-01-06T15:25:16+01:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><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="2023-01-06T15:25:16+01:00" />
+<meta itemprop="dateModified" content="2023-01-10T22:01:36+05:30" />
<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 bb17090595..ebd2988f8c 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="2023-01-06T15:25:16+01:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><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="2023-01-06T15:25:16+01:00" />
+<meta itemprop="dateModified" content="2023-01-10T22:01:36+05:30" />
<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 c069857608..96130540d8 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" />
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+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><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="2023-01-06T15:25:16+01:00" />
+<meta itemprop="dateModified" content="2023-01-10T22:01:36+05:30" />
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<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 9122241617..50be475277 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" />
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+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><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="2023-01-06T15:25:16+01:00" />
+<meta itemprop="dateModified" content="2023-01-10T22:01:36+05:30" />
<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 63eb98d0ba..54cb623397 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="2023-01-06T15:25:16+01:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><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 (“only one person can solve this issue”). 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… 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="2023-01-06T15:25:16+01:00" />
+<meta itemprop="dateModified" content="2023-01-10T22:01:36+05:30" />
<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 f5dbea5a88..395d9148d2 100644
--- a/use-cases/plarium-krasnodar/index.html
+++ b/use-cases/plarium-krasnodar/index.html
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<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="2023-01-06T15:25:16+01:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Plarium Krasnodar">
<meta itemprop="description" content="What was the problem? Our Research & 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’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="2023-01-06T15:25:16+01:00" />
+<meta itemprop="dateModified" content="2023-01-10T22:01:36+05:30" />
<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 3e929aea14..a78d55450e 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="2023-01-06T15:25:16+01:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><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="2023-01-06T15:25:16+01:00" />
+<meta itemprop="dateModified" content="2023-01-10T22:01:36+05:30" />
<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 b459ff249a..df1ba5c766 100644
--- a/use-cases/sift/index.html
+++ b/use-cases/sift/index.html
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<meta property="og:url" content="/use-cases/sift/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
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+<meta property="article:modified_time" content="2023-01-10T22:01:36+05:30" /><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 & 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 [...]
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