<ul><li>The author shares their experience of rebuilding their team's data stack after encountering discrepancies in reports, highlighting the importance of trust in data.</li><li>The overhaul was driven by the realization that the issue was with the data pipeline, which was a tangled mess of shadow workflows causing a lack of observability.</li><li>The transformation involved building accountability into the system, adopting federated governance with shared standards, and emphasizing observability through real-time alerts and end-to-end lineage.</li><li>The author concludes by emphasizing the need for visibility, collaboration, and treating data pipelines as products to ensure reliable, explainable, and trusted data for better decision-making.</li></ul>

Why I Rebuilt My Team’s Entire Data Stack and Would Do It Again

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