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new 13960ba868 Deploying to gh-pages from @
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commit 13960ba868e7df41c731bdaeb80000f3501b78c5
Author: potiuk <[email protected]>
AuthorDate: Sat Jan 21 00:28:32 2023 +0000
Deploying to gh-pages from @ 966804c0a1779876ddc8301778e7b041a05dd36c 🚀
---
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 +-
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.../index.html | 4 +-
index.html | 32 +++----
meetups.json | 36 +++++---
search/index.html | 4 +-
sitemap.xml | 100 ++++++++++-----------
use-cases/adobe/index.html | 4 +-
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use-cases/sift/index.html | 4 +-
34 files changed, 153 insertions(+), 139 deletions(-)
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</url><url>
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- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/tags/community/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/tags/survey/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/tags/users/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/tags/airflow-summit/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow_summit_2022/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow-2.3.0/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow-2.2.0/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow_summit_2021/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow-survey-2020/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow-two-point-oh-is-here/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/experience-with-airflow-as-an-outreachy-intern/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow-1.10.12/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/apache-airflow-for-newcomers/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/announcements/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/implementing-stable-api-for-apache-airflow/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/tags/rest-api/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow-1.10.10/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow-1.10.8-1.10.9/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/tags/documentation/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/experience-in-google-season-of-docs-2019-with-apache-airflow/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/airflow-survey/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/announcing-new-website/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/apache-con-europe-2019-thoughts-and-insights-by-airflow-committers/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/tags/development/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/documenting-using-local-development-environments/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/its-a-breeze-to-develop-apache-airflow/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/adobe/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/adyen/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/big-fish-games/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/blog/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/categories/</loc>
</url><url>
<loc>/community/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/dish/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/ecosystem/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/experity/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/meetups/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/onefootball/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/plarium-krasnodar/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/privacy-notice/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/roadmap/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/search/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/seniorlink/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/sift/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url><url>
<loc>/use-cases/</loc>
- <lastmod>2023-01-20T21:23:20+01:00</lastmod>
+ <lastmod>2023-01-20T17:18:43-07:00</lastmod>
</url>
</urlset>
diff --git a/use-cases/adobe/index.html b/use-cases/adobe/index.html
index fe2f6aa1c9..64e77b568e 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="2023-01-20T21:23:20+01:00"
/><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-20T17:18:43-07:00"
/><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="2023-01-20T21:23:20+01:00" />
+<meta itemprop="dateModified" content="2023-01-20T17:18:43-07:00" />
<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 c86013b97d..19c362be04 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="2023-01-20T21:23:20+01:00"
/><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-20T17:18:43-07:00"
/><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="2023-01-20T21:23:20+01:00" />
+<meta itemprop="dateModified" content="2023-01-20T17:18:43-07:00" />
<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 2d1a34ce1d..56a306f0b8 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="2023-01-20T21:23:20+01:00"
/><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-20T17:18:43-07:00"
/><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="2023-01-20T21:23:20+01:00" />
+<meta itemprop="dateModified" content="2023-01-20T17:18:43-07:00" />
<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 221730c52c..5fb226b5a6 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="2023-01-20T21:23:20+01:00"
/><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-20T17:18:43-07:00"
/><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="2023-01-20T21:23:20+01:00" />
+<meta itemprop="dateModified" content="2023-01-20T17:18:43-07:00" />
<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 036bb1ad1a..6ca0718380 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="2023-01-20T21:23:20+01:00"
/><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-20T17:18:43-07:00"
/><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="2023-01-20T21:23:20+01:00" />
+<meta itemprop="dateModified" content="2023-01-20T17:18:43-07:00" />
<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 928b50936a..2931dbd24b 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="2023-01-20T21:23:20+01:00"
/><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-20T17:18:43-07:00"
/><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.">
-<meta itemprop="dateModified" content="2023-01-20T21:23:20+01:00" />
+<meta itemprop="dateModified" content="2023-01-20T17:18:43-07:00" />
<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 0eb8855dbb..4e847d3dd9 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="2023-01-20T21:23:20+01:00"
/><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-20T17:18:43-07:00"
/><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Plarium Krasnodar">
<meta itemprop="description" content="What was the problem? Our Research &
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="2023-01-20T21:23:20+01:00" />
+<meta itemprop="dateModified" content="2023-01-20T17:18:43-07:00" />
<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 503f5da5c8..f5fa1f67bb 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="2023-01-20T21:23:20+01:00"
/><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2023-01-20T17:18:43-07:00"
/><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="2023-01-20T21:23:20+01:00" />
+<meta itemprop="dateModified" content="2023-01-20T17:18:43-07:00" />
<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 0f6ac7fdf2..8536761a63 100644
--- a/use-cases/sift/index.html
+++ b/use-cases/sift/index.html
@@ -34,11 +34,11 @@
<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" />
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<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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