Based on our record, Apache Airflow should be more popular than .NET. 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.
Dotnet (.NET 9 is used for this article) and C# decompiler. - Source: dev.to / about 2 months ago
C# was developed by Microsoft in the early 2000s as part of its .NET initiative, led by Anders Hejlsberg. Originally designed as an alternative to Java, C# evolved into a powerful language for Windows applications, backend services, game development (via Unity), and cloud computing. The introduction of .NET Core made C# fully cross-platform, allowing it to run on Windows, Linux, and macOS. - Source: dev.to / 3 months ago
This blog post details how to implement social authentication and provide users with several social login options and how we can handle the users' data obtained as a result of these logins in our application. In this blog post, we’ll look at how we can integrate Google and Facebook login authentications. We will see how this can be implemented from the server side of an application using .NET 6; Microsoft's own... - Source: dev.to / 9 months ago
We never quite lost it, just the startup SV culture lost sight of them, https://www.embarcadero.com/products/delphi https://dotnet.microsoft.com/en-us/ https://www.outsystems.com/ Or in the game industry, https://docs.unrealengine.com/5.2/en-US/blueprints-visual-scripting-in-unreal-engine/. - Source: Hacker News / over 1 year ago
I want to create graphics easily like found on this website" https://dotnet.microsoft.com/en-us/. Source: almost 2 years 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 / 2 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 / 3 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 / 4 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 / 4 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 / 5 months ago
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