AI in ETL Testing: Smarter Solutions for Data Quality Challenges

Описание: In this video, we explore how AI and Machine Learning (AI/ML) are reshaping the way we perform ETL Testing, from automating repetitive data validation tasks to improving data quality and governance.

𝐊𝐧𝐨𝐰 𝐦𝐨𝐫𝐞:
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ETL (Extract, Transform, Load) testing ensures data accuracy as it moves between systems, but with AI/ML, testers can now focus on smarter, faster, and more reliable validation processes.

𝐘𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧:

✅ What ETL Testing is and why it matters
✅ How AI/ML can automate data validation and anomaly detection
✅ Real-world tools like Collibra and QuerySurge AI improving data governance
✅ How intelligent automation boosts test efficiency and frees human testers for complex work

Whether you're a data engineer, QA professional, or AI enthusiast, this short explainer will help you understand how AI/ML is transforming the future of data testing.

#ETLTesting #AITesting #MachineLearning #DataEngineering #TestAutomation #AIinTesting #dataquality

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