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Apache AirflowApache Airflow is recommended for data engineers, data scientists, and IT professionals who need to automate and manage workflows. It is particularly suited for organizations handling large-scale data processing tasks, requiring integration with various systems, and those looking to deploy machine learning pipelines or ETL processes.
Based on our record, Apache Airflow should be more popular than Drupal. It has been mentiond 80 times since March 2021. 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.
I would be interested in some good migration tools, paid ones are also ok. I found a post about this on drupal.org, but it didn't seem like an easy process. It is a multilanguage site with many content types, and a totally custom theme. Source: over 3 years ago
You got already good advice, but wanted to point the guide of drupal.org where you can see some tools listed with instructions and channels https://www.drupal.org/community/contributor-guide/reference-information/talk/tools. Source: over 3 years ago
There is a service call GitPod that provides a temporary container Drupal environment. If you are familiar with what is going on around the future of how Drupal modules will eventually be offered up, you will likely have seen the "Project Browser" module as a contrib demo of the approach. It is used for people to give feedback to the developers. So they set up the typical 'SimplyTestMe' but also a GitPod... Source: almost 4 years ago
For reviews, it depends entirely on what you mean by "review". I believe core has a simple comment module, although it may have been deprecated for D9? There are likely many review-style modules on drupal.org that might work, or if you just want to link out to third-party reviews then it could just be a repeating-value link field on the Product content type. Source: almost 4 years ago
They should also use standards tools like Github. The drupal.org platform was certainly impressive 10 years ago, today it's a pain to use it. They ducktape it with gitlab, but really it sucks to have to read documentation to simply do a pull request. Source: almost 4 years ago
General orchestrators โ Airflow, Prefect, AWS Step Functions, Azure Logic Apps. These treat Each LLM call as just another task in a DAG, and give you the heavyweight reliability Machinery: durable state, scheduling, checkpointing, audit trails, human approval. - Source: dev.to / 4 days ago
There is a lot of stuff for Python which follows the "express computation as a dag" approach, especially Apache Airflow https://airflow.apache.org/. - Source: Hacker News / 10 months ago
Doing ingestion or data processing with Airflow, a very popular open-source platform for developing and running workflows, is a fairly common setup. DataHub's automatic lineage extraction works great with Airflow - provided you configure the Airflow connection to DataHub correctly. - Source: dev.to / 11 months ago
Apache Airflow represents the open-source workflow orchestration approach to MongoDB ETL. By combining Airflow's powerful scheduling and dependency management with a Python library like PyMongo, you can build highly customized ETL workflows that integrate seamlessly with MongoDB. - Source: dev.to / 11 months ago
You appear to be making the mistake of assuming that the only valid definition for the term "workflow" is the definition used by software such as https://airflow.apache.org/ https://www.merriam-webster.com/dictionary/workflow thinks the word dates back to 1921. There no reason Anthropic can't take that word and present their own alternative definition for it in the context of LLM tool usage, which is what they've... - Source: Hacker News / about 1 year ago
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Make.com - Tool for workflow automation (Former Integromat)
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