Using DataOps for Data Pipeline Engineering Quality

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.
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This document, the practices and architectural concepts and methodologies discussed herein, and the Framework software it describes (except where otherwise noted) are proprietary and competitive intellectual property of Brightlight Consulting, protected by copyright and software law, and formal non-


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