Remove training-certification-dataops-fundamentals
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The Race For Data Quality in a Medallion Architecture

DataKitchen

The first part of Data Quality (DQ) training focuses on onboarding new datasets, which includes evaluating and cleansing them before they progress through the pipeline. Tools like DataOps Data Quality TestGen can be leveraged to automate test generation, making it easier for data teams to implement robust QA checks.

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Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers

DataKitchen

This comprehensive guide explores the fundamental principles of test coverage in data and analytics systems, providing practical frameworks and strategies for implementing robust testing practices. Data analytics processes fundamentally resemble manufacturing operations, where raw materials transform to produce refined outputs.