Astronomer might be a bit more popular than Workday. We know about 4 links to it since March 2021 and only 4 links to Workday. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Dont apply if they use workday.com. Source: over 1 year ago
There's a ton of great product information including recorded demos on workday.com. Source: over 2 years ago
If you haven't already, check out workday.com to watch demos of the product. Lots out there to get a conceptual overview and understand the capabilities. Check out job opportunities at Workday, too. While consulting is a great career, there's also other options such as pre-sales and value management (example: helping put together value propositions for prospects wanting to justify Workday), business... Source: over 2 years ago
Hey I was recently extended an offer to join the experience team (training starts aug. 2) after 2 video interviews, having completed all tasks within workday.com, and passing Checkr's background check (came back Clear) but I have not received any further instructions on what to do next. Source: almost 3 years ago
A quick tip for airflow if you don't have a local install (and I heartily recommend a local install - astronomer.io has an easy to set up container). Source: over 1 year ago
Julian LaNeve is an engineer and data scientist who currently works at Astronomer.io as a Product Manager. In his free time, he enjoys playing poker, chess and winning data science competitions. - Source: dev.to / over 1 year ago
Then load up docker, don't need to be a docker expert, just install docker desktop on windows or use linux. Go to astronomer.io and look at how to run airflow (cron++) in docker. Get that working. If you don't know python but do program in some language, you should be able to get up to speed on the basics pretty quickly. If you know python, it will be a breeze. Source: over 2 years ago
Hello guys, I am currently looking for the right orchestration to build a data pipeline composed of long running tasks (python scripts) among which some run in parallel. Although I was firstly hesitating between Apache Airflow and AWS Step functions, it appeared setting Airflow for production might be too complicated without using a way too expensive service meant for that intent( aws managed worflows or... Source: about 3 years ago
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