Engineering Paranoia
Data pipeline resiliency testing is often delegated to human (or agentic AI) reasoning through time/token consuming and error-prone "What if?" sessions. What if an automated tool existed?
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Chaos testing for Data Engineering
Data pipeline resiliency testing is often delegated to human (or agentic AI) reasoning through time/token consuming and error-prone "What if?" sessions. What if an automated tool existed?
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(Series) Beyond the happy path: Building resilient data pipelines - Part 1
Beyond the happy path: Building resilient data pipelines
Happy path thinking is a recurring behavior adopted by humans to simplify things. Often, such behavior leads to fragile systems built on oversimplified models which fails in real-world conditions.
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Data Ownership: The single writer principle in Big Data analytics
Your table doesn't need democracy; it needs clear ownership. When multiple actors mutate the same dataset, ownership becomes blurry, failures get harder to debug, and someone starts asking, "Who changed this?!"