Pipeline to Insights 

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This platform, started by two Data Engineers, shares knowledge, tutorials, and experiences to help others grow in the data industry. We focus on learning, collaboration, and making complex data/AI topics easy to understand.
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In software development, observability means adding enough “sensors” (logs, metrics, traces) so you can tell what your app is doing and fix problems fast. Tools like Datadog collect those signals and show you if something breaks.

Data observability does the same thing, but for data.

Keen to learn more? Check out this post for more details.

What is Data Observability and How It Support Data Quality
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10 Pipeline Design Patterns for Data Engineers

Discover how key design patterns in data pipelines can turn raw data into actionable insights. Learn practical strategies to build efficient, scalable pipelines that meet today’s data challenges.

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10 Pipeline Design Patterns for Data Engineers
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Pipeline Design and Implementation for Small-Scale Data Pipelines

In this post, we walk through how to plan, design, and implement small-scale pipelines that are simple, modular, and maintainable, without overengineering.

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Pipeline Design and Implementation for Small-Scale Data Pipelines