To meet the insatiable demand for data and analytic solutions, teams must innovate to become faster, clean, lean, and consistent in their data management practices. Looking for patterns to modularize the components of a data pipeline and creating a consumable information product is synonymous with building a model from a sorted, documented Lego set.  Automation tools exist to help teams rapidly organize metadata into lineage and transform logic, and apply it to templates to deliver optimum data products iteratively. Doing so promotes speed, accuracy, and trust between the data professional team members and their stakeholders. Success is the result.


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