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Methodology

Metadata-driven data pipelines are a game changer for data processing in companies. These pipelines use metadata to dynamically update processes instead of manually revising each step every time a data source changes. As with data pipelines, metadata maintenance can be a bottleneck in the maintenance and further development of a pipeline framework. In this blog post, I use practical examples to show how the Jsonnet template language makes it easier to maintain metadata.

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