Willi Müller’s Post

Want to build a data platform and consider Airbyte Low-code CDK or dltHub's new REST API Source toolkit to build many custom data ingestions? Check out our comparison with a practical case study: https://lnkd.in/gqQgAJqF

While dltHub is releasing new features, Willi Müller took the time to compare the creation (and I would say also the maintenance) of an API extraction using the dlt REST API source and Airbyte low-code CDK. The post guides you through the implementation process showing how to do it and the differences step by step. If you want to use dlt to extract data from an API and there isn't an already existing verified source, this is a must read. If you are just curious about the outcome, well, it's less code, more features, and you can run it whenever you want. Which one? Oh...

Do you use Airbyte and wondering how dlt's REST API connector compares? Untitled Data Company did a comparison between the 2, check it out below. In my book, the comparison is not even necessary - do you use python? then use python. Don't use python? then be dependent on what others can do for you.

Time-series data ingestion from Rust WebAssembly application, leveraging GreptimeDB and WasmEdge #data

Async enumerable is a way to work with data collections that arrive over time rather than all at once. AsyncEnumerables are particularly useful when: • You're dealing with large datasets • Data is being generated or fetched in real-time • Process items as they become available without waiting for the entire collection In this post, let's explore how C# combines 'yield return' with 'async' and 'await' to create efficient asynchronous data streams and how 'await foreach' lets us effortlessly consume them. #dotnet https://lnkd.in/ghNtSttX

🚀 Just made the leap from REST to GraphQL and documented the journey! 📘✨ Discover a practical guide filled with code snippets to help you navigate this transformation. Perfect for anyone looking to enhance their API's efficiency and flexibility. Check it out 👉 #GraphQL #APIs #Coding #WebDevelopment #TechTips

I think we all agree that JSON deserialization is one of the most common tasks we as developers of #Dart and #Flutter applications, have to perform regularly, which means that implementation efficiency in this area has a significant impact on the overall speed and ease of the development. Yet over and over I see a few pretty common scenarios. Some folks prefer to do JSON deserialization manually, which is more time-consuming and error-prone than using code generation. And even if they do use code generation, they’d have data models with JSON deserialization logic, corresponding domain models with similar structure, and mappers that copy data back and forth between data and domain models, maybe with slight modifications. Clearly, such an approach has a big benefit: if there's a change in the data structure received from the backend, the required application change is minimal and is contained in the deserialization logic, so that the domain model structure remains unchanged and thus no further updates are required in the business logic layer and above. This is a very important benefit, and in my session “Is your JSON deserialization implementation efficient?” at the #FullStackFlutterConference, I’ve shown how to achieve the same result with less code. The recording is already available on my YouTube channel, linked below!

Check out this guide for a demonstration on how to integrate the Zod library, a TypeScript-first schema declaration library, into your SuiteCloud project for runtime data validation. https://lnkd.in/dNi4QUuh

Dataweave code to sort nested JSON objects and arrays. In my opinion, this code is useful in the Experience API layer to beautify, streamline, and make the output payload more coherent with the rest of the systems. https://lnkd.in/gNR2nsaU

👨💻 A new milestone achieved! I have successfully refactored the Projects page by leveraging Baas data, showcasing my strong front-end skills combined with a deep understanding of the back-end. This small yet significant step reflects my transition from back-end development to full-stack development. Check out the details on my GitHub PR here: https://lnkd.in/dAnhB3yv #FullStackDevelopment #FrontEnd #CodingLife #WebDevelopment 🚀🎉 (for the humans: Im just playing with AI here for metrics :3)