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#dataengineering

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Enums can make your code more readable, safer and easier to maintain. If you want a solid overview of Python’s enum module, check out this article by Rodrigo. He covered everything from basic Enum usage to auto, StrEnum, Flags and more. It’s a great way to learn the full range of what Python enums offer.

mathspp.com/blog/module-enum-o

mathspp.comModule enum overviewThis article gives an overview of the tools available in the module enum and how to use them.

#DataStreaming is tough! Despite 10+ years of attempting to simplify it, teams often spend up to 80% of their time wrangling bad data at the lake and optimizing real-time pipelines.

Discover the basic challenges of Data Streaming and a few design & architecture patterns used to tackle these challenges.

This is about pragmatic solutions to build fast, scalable & manageable Data Streaming Pipelines! Watch the #InfoQ video now: bit.ly/3Zmjrrd

Stop duplicating dashboards to preview the impact of dbt model changes!

With Recce, you can:
✅ Diff models
✅ Record data impact
✅ Share results instantly — no dashboards, no SQL, no screenshots

One click. Instant clarity:

medium.com/inthepipeline/stop-

Meeseeks from Rick & Morty season 1
In the Pipeline · Stop duplicating dashboards just to preview dbt changesBy Dave Flynn
#dbt#DataOps#SQL

🎓 Free Online Demo – Microsoft Fabric
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Apache Kafka’s tiered storage unlocks massive scalability and long-term data retention without breaking the bank. Watch Paul Brebner explain how it works, its impact on performance and cost, and real-world replay use cases at #FOSSASIASummit2025

🎥 Watch: youtu.be/Sz8qtxAuL_Y

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