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Apache 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 Latenode. It has been mentiond 75 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.
As a bonus,we have Discord community is extremely supportive when you need assistance with scenarios. Reach out and expect support from their CTO or dev team. Begin your automation journey with no limits here: https://latenode.com. Source: over 1 year ago
Create a new scenario on app.latenode.com (it’s entirely free). - Source: dev.to / over 1 year ago
Reach out to Latenode’s low-code community on Discord and ask anything about automation on the platform itself. Source: over 1 year ago
🔗 Explore the full capabilities of the platform at https://latenode.com/ And join our Discord community. http://go.latenode.com/talk. Source: over 1 year ago
A note, Latenode is currently in beta-testing, offering free access for your exploratory projects. I strongly recommend trying it out, experimenting with webhooks, using the JavaScript AI assistant, and joining their Discord community with your questions. Source: over 1 year ago
Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 3 months ago
Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 4 months ago
Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 5 months ago
Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 5 months ago
This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 6 months ago
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