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Posted to commits@airflow.apache.org by gi...@apache.org on 2021/01/05 20:00:46 UTC
[airflow-site] branch asf-site updated: Deploying to asf-site from @ 6d1c6cb4fe65490690848575c3be5199f2c9b880 🚀
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github-bot pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/airflow-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 7eb152b Deploying to asf-site from @ 6d1c6cb4fe65490690848575c3be5199f2c9b880 🚀
7eb152b is described below
commit 7eb152ba7120ca50374c77e73b6181914fc63e99
Author: potiuk <ja...@potiuk.com>
AuthorDate: Tue Jan 5 20:00:36 2021 +0000
Deploying to asf-site from @ 6d1c6cb4fe65490690848575c3be5199f2c9b880 🚀
---
404.html | 2 +-
announcements/index.html | 2 +-
blog/airflow-1.10.10/index.html | 6 +-
blog/airflow-1.10.12/index.html | 6 +-
blog/airflow-1.10.8-1.10.9/index.html | 6 +-
blog/airflow-survey/index.html | 6 +-
blog/airflow-two-point-oh-is-here/index.html | 6 +-
blog/announcing-new-website/index.html | 6 +-
blog/apache-airflow-for-newcomers/index.html | 6 +-
.../index.html | 6 +-
.../index.html | 6 +-
.../index.html | 6 +-
.../index.html | 6 +-
.../index.html | 6 +-
blog/index.html | 2 +-
.../index.html | 6 +-
blog/tags/community/index.html | 2 +-
blog/tags/development/index.html | 2 +-
blog/tags/documentation/index.html | 2 +-
blog/tags/release/index.html | 2 +-
blog/tags/rest-api/index.html | 2 +-
blog/tags/survey/index.html | 2 +-
blog/tags/users/index.html | 2 +-
categories/index.html | 2 +-
community/index.html | 2 +-
docs/index.html | 2 +-
ecosystem/index.html | 2 +-
index.html | 32 ++++-----
install/index.html | 2 +-
meetups.json | 7 ++
meetups/index.html | 2 +-
privacy-notice/index.html | 2 +-
roadmap/index.html | 2 +-
search/index.html | 6 +-
sitemap.xml | 78 +++++++++++-----------
tags/index.html | 2 +-
use-cases/adobe/index.html | 6 +-
use-cases/big-fish-games/index.html | 6 +-
use-cases/dish/index.html | 6 +-
use-cases/experity/index.html | 6 +-
use-cases/index.html | 2 +-
use-cases/onefootball/index.html | 6 +-
use-cases/sift/index.html | 6 +-
43 files changed, 142 insertions(+), 135 deletions(-)
diff --git a/404.html b/404.html
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Authoring Workflow in Apache Airflow. Airflow makes it easy to author workflows using python scripts.">
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- <lastmod>2020-12-31T22:57:30+05:30</lastmod>
+ <lastmod>2021-01-05T21:55:37+02:00</lastmod>
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<url>
<loc>/use-cases/sift/</loc>
- <lastmod>2020-12-31T22:57:30+05:30</lastmod>
+ <lastmod>2021-01-05T21:55:37+02:00</lastmod>
</url>
<url>
<loc>/use-cases/</loc>
- <lastmod>2020-12-31T22:57:30+05:30</lastmod>
+ <lastmod>2021-01-05T21:55:37+02:00</lastmod>
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diff --git a/tags/index.html b/tags/index.html
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- <span>© The Apache Software Foundation 2020</span>
+ <span>© The Apache Software Foundation 2021</span>
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diff --git a/use-cases/adobe/index.html b/use-cases/adobe/index.html
index 810b0b2..dbdb8c7 100644
--- a/use-cases/adobe/index.html
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<meta property="og:url" content="/use-cases/adobe/" />
<meta property="og:image" content="/images/feature-image.png" />
-<meta property="article:modified_time" content="2020-12-31T22:57:30+05:30" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2021-01-05T21:55:37+02:00" /><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 [...]
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- <span>© The Apache Software Foundation 2020</span>
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diff --git a/use-cases/big-fish-games/index.html b/use-cases/big-fish-games/index.html
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<meta property="og:url" content="/use-cases/big-fish-games/" />
<meta property="og:image" content="/images/feature-image.png" />
-<meta property="article:modified_time" content="2020-12-31T22:57:30+05:30" /><meta property="og:site_name" content="Apache Airflow" />
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<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 [...]
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diff --git a/use-cases/dish/index.html b/use-cases/dish/index.html
index 4b85c8c..7ff3c33 100644
--- a/use-cases/dish/index.html
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<meta property="og:url" content="/use-cases/dish/" />
<meta property="og:image" content="/images/feature-image.png" />
-<meta property="article:modified_time" content="2020-12-31T22:57:30+05:30" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2021-01-05T21:55:37+02:00" /><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="2020-12-31T22:57:30+05:30" />
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- <span>© The Apache Software Foundation 2020</span>
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diff --git a/use-cases/experity/index.html b/use-cases/experity/index.html
index 3d8e5e0..05b351b 100644
--- a/use-cases/experity/index.html
+++ b/use-cases/experity/index.html
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<meta property="og:url" content="/use-cases/experity/" />
<meta property="og:image" content="/images/feature-image.png" />
-<meta property="article:modified_time" content="2020-12-31T22:57:30+05:30" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2021-01-05T21:55:37+02:00" /><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.">
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diff --git a/use-cases/index.html b/use-cases/index.html
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diff --git a/use-cases/onefootball/index.html b/use-cases/onefootball/index.html
index f7003f0..c674c3b 100644
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+++ b/use-cases/onefootball/index.html
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<meta property="og:url" content="/use-cases/onefootball/" />
<meta property="og:image" content="/images/feature-image.png" />
-<meta property="article:modified_time" content="2020-12-31T22:57:30+05:30" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2021-01-05T21:55:37+02:00" /><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 (“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.">
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diff --git a/use-cases/sift/index.html b/use-cases/sift/index.html
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<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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